Code Guardian

mcp-name: io.github.LuminariSoftwares/code-guardian

One command that tells you three things about any repo, without running it:

• Safe: is it safe to run?
• Works: will it work?
• Complete: does it have what it needs?

Each is a score out of 100 (higher is better), combined into an Overall score and an A–F grade. Scores come only from deterministic checks with fixed weights: same repo, same version, same output, every time. On top of that:

• Orphan code: functions, classes and modules nothing reachable from the project's entry points uses, judged against a small goal contract.
• An optional plain-English explanation from a local model, which never adds, removes or rescores a finding.
• A verify loop for AI-assisted changes: run it before and after every change to learn what the change fixed, what it broke, what to fix next, and whether the scan itself can be trusted (see The verify loop).

It parses the code (ast for Python; json, tomllib and configparser for manifests; regular expressions for secrets) and never executes, imports or installs it. A scan makes no network calls. Python 3.11+, standard library only. Status: 0.3.1 is the current release. The fourth guardian, next to stack-guardian, context-guardian and tool-guardian.

Install

pip install code-guardian-mcp

The distribution is code-guardian-mcp (code-guardian on PyPI is someone else's project); the commands are code-guardian and code-guardian-mcp. To run the MCP server without installing anything: uvx code-guardian-mcp mcp.

From a clone (for the tests):

git clone https://github.com/LuminariSoftwares/code-guardian.git
cd code-guardian
python -m venv .venv
.venv\Scripts\activate          # Windows;  macOS/Linux: source .venv/bin/activate
pip install -e . pytest
python -m pytest -q

30-second example

tests/fixtures/risky_repo is a small project that trips every scanner. Its key-shaped strings are never stored in the repository; tests/make_risky.py adds them to a copy at test time:

python tests/make_risky.py risky_repo
code-guardian scan risky_repo

Real output:

code-guardian 0.3.1  scan of risky
files: 7 Python, 3 manifests, 2 other (0 skipped, 0 excluded by the goal file)
status: COMPLETE

  Safe       0/100  is it safe to run?           -237
  Works     85/100  will it work?                -15
  Complete  35/100  does it have what it needs?  -65
  Overall   33/100  grade F  (a Safe check is FAIL (exec.shell, obfuscation, secret.key, tls.off): the grade is at most D)

biggest deductions:
  -60  Safe     secret.key FAIL          x3   at deploy/id_rsa:1, risky/settings.py:1, risky/settings.py:2
  -40  Safe     obfuscation FAIL         x1   at risky/loader.py:7
  -30  Safe     exec.shell FAIL          x1   at risky/runner.py:7
  -25  Safe     tls.off FAIL             x1   at risky/network.py:11
  -23  Safe     install.hook WARN        x3   at package.json:5, setup.py:5, setup.py:14

findings (6 FAIL, 19 WARN, 7 INFO; egress listed below):
  Safe:
    FAIL  secret.key    deploy/id_rsa:1  private-key block in the source; value redacted
    WARN  install.hook  package.json:5  npm postinstall script runs on install
    INFO  deps.unpinned package.json:8  dependency left-pad has no pin or upper bound
    INFO  deps.unpinned pyproject.toml:4  dependency flask has no pin or upper bound
    WARN  obfuscation   risky/loader.py:3  base64-like blob of 340 characters
    WARN  exec.dynamic  risky/loader.py:7  exec() runs code built at runtime
    FAIL  obfuscation   risky/loader.py:7  exec() runs decoded or decompressed data
    FAIL  tls.off       risky/network.py:11  TLS certificate checking is switched off (verify=False)
    WARN  net.bind_all  risky/network.py:16  binds to all interfaces (0.0.0.0)
    FAIL  exec.shell    risky/runner.py:7  os.system runs a shell command built from input, env or network
    WARN  exec.shell    risky/runner.py:11  subprocess.run(shell=True) runs a command through the shell
    WARN  exec.dynamic  risky/runner.py:15  eval() runs code built at runtime
    FAIL  secret.key    risky/settings.py:1  sk- key shape (privacy pattern 5) in the source; value redacted
    FAIL  secret.key    risky/settings.py:2  password-like literal assigned to 'password' in the source; value redacted
    WARN  obfuscation   risky/settings.py:3  high-entropy literal of 48 characters
    WARN  deser.unsafe  risky/storage.py:8  pickle.load can run code hidden in the data
    WARN  deser.unsafe  risky/storage.py:12  yaml.load without SafeLoader can build arbitrary Python objects
    WARN  fs.outside    risky/storage.py:16  writes outside the project: /tmp/risky-report.txt (absolute path)
    WARN  install.hook  setup.py:5  class PostInstall overrides the install command
    INFO  deps.unpinned setup.py:13  dependency requests has no pin or upper bound
    WARN  install.hook  setup.py:14  setup() cmdclass overrides build/install commands
  Works:
    WARN  works.tests_missing .  no test files: nothing checks that the code works
  Complete:
    WARN  complete.ci_missing .  no CI configuration: nothing runs the tests on each change
    WARN  complete.license_missing .  no licence file: nobody may legally reuse this code
    WARN  complete.readme_missing .  no README: nobody can tell what this is or how to run it
    WARN  complete.license_undeclared pyproject.toml:1  the package metadata declares no licence
    WARN  complete.metadata pyproject.toml:1  pyproject.toml [project] is missing: requires-python
    INFO  deps.declared_unused pyproject.toml:4  dependency flask is declared but never imported

egress inventory (4):
  WARN  risky/network.py:5  url   http://{host}:8080/upload
  INFO  risky/network.py:6  url   https://example.com/docs
  INFO  risky/network.py:7  ip    100.64.0.5
  INFO  risky/network.py:11  call  requests.post

hygiene (inferred (library public API) entry points: 1): 0 dead, 0 test-only, 0 uncertain

notes:
  - code-guardian analyses Python only: 1 file(s) in other languages (.js 1) got the secret scan only

weights used (each check (code + level) deducts its weight once, plus a quarter of the weight per extra occurrence (rounded up), at most 2x the weight; INFO is never scored):
  Safe     deps.unpinned INFO 0 · deser.unsafe WARN 10 · exec.dynamic FAIL 30 · exec.dynamic WARN 10 ·
           exec.shell FAIL 30 · exec.shell WARN 10 · fs.outside WARN 3 · install.hook WARN 15 ·
           net.bind_all WARN 5 · net.egress INFO 0 · net.egress WARN 2 · obfuscation FAIL 40 ·
           obfuscation WARN 10 · privacy.pii_log WARN 5 · privacy.pii_prompt WARN 5 · secret.history FAIL 30 ·
           secret.key FAIL 40 · secret.key INFO 0 · supply.lookalike WARN 15 · supply.unknown_package FAIL 40 ·
           supply.unknown_package INFO 0 · supply.unknown_package WARN 10 · tls.off FAIL 25 · tls.off WARN 10
  Works    orphan.dead WARN 3 · works.commented_code INFO 0 · works.dead_flag INFO 0 ·
           works.entry_missing FAIL 30 · works.import_unresolved WARN 10 · works.relative_missing FAIL 25 ·
           works.syntax FAIL 30 · works.syntax INFO 0 · works.test_no_assert WARN 5 ·
           works.tests_missing WARN 15 · works.todo_stub WARN 3
  Complete complete.ci_missing WARN 10 · complete.env_example WARN 10 · complete.license_missing WARN 20 ·
           complete.license_undeclared WARN 5 · complete.lockfile WARN 10 · complete.metadata WARN 10 ·
           complete.readme_missing WARN 20 · complete.readme_sections WARN 5 · complete.readme_short WARN 10 ·
           deps.declared_unused INFO 0

static analysis: every finding is LIKELY; the scores come from fixed weights, never from a model

Exit code 1: there are FAIL findings. --json prints the same report as JSON (shape below); --fail-on WARN (or INFO) lowers the bar for CI.

scan gates on every scored finding (Safe, Works and Complete); code-guardian orphans PATH gates on the hygiene findings.

The verify loop

code-guardian answers four questions about a change, so a developer or a coding agent can run it before and after every edit:

An agent's loop, from the shell:

code-guardian scan . --json > before.json      # 1. scan: is the scan COMPLETE? what is the grade?
code-guardian plan . --top 5                   # 2. plan: the five fixes worth the most points, with locations
#                                                3. fix the top item (the plan never edits code)
code-guardian scan . --json > after.json       # 4. scan again
code-guardian diff before.json after.json      # 5. diff: verdict improved / regressed / mixed / unchanged

verdict: improved (1 fixed, 0 new, 31 unchanged)

            before  after  delta
  Safe           0      0     +0
  Works         85     85     +0
  Complete      35     55    +20
  Overall       33     37     +4
  grade          F      F
  status    COMPLETE -> COMPLETE

fixed (1):
  WARN  complete.license_missing .  no licence file: nobody may legally reuse this code

new (0):
  none

matched by fingerprint (code, level, file and the evidence line; line numbers ignored); INFO findings never decide the verdict

The same loop over MCP is scan → plan → edit → scan → diff(before, after), where before and after are the two scan replies (JSON text) or paths to scan --json files. Findings are matched by fingerprint (code, level, file and the evidence line, never the line number), so moving code does not count as a change. Everything in the loop is deterministic, offline and read-only.

How the scores work

Every check is a small pure function with its own tests. Every finding has the guardian family's shape (code, severity, level, node = file:line, summary of at most 120 characters, evidence, try) and confidence LIKELY: a parse proves the code is there, not that it runs. Each check code belongs to one dimension: Safe, Works or Complete.

• Per check, not per occurrence. A check (one row of the tables below: a code at a level) deducts its weight once, plus a quarter of the weight for each extra occurrence (rounded up), at most twice the weight. Fifty copies of one minor issue cannot zero a score.
• Dimension score = max(0, 100 − its deductions). Safe is 100 minus the v0.1 threat score; its weights are the v0.1 weights, unchanged.
• Overall = 0.5 × Safe + 0.3 × Works + 0.2 × Complete, rounded half up.
• Grade: A ≥ 90 · B ≥ 75 · C ≥ 60 · D ≥ 40 · F below 40.
• FAIL cap: any Safe finding at FAIL caps the grade at D, whatever the average. One leaked key never hides behind a good README.
• INFO findings are never scored. Every report prints the weight table it used.
• Every deduction cites its evidence. Each check row lists every distinct file:line it was counted at (sorted, at most 20, plus more: how many were left out); the text report shows up to three per row.
• Nothing secret is printed. Every output (JSON, text, Markdown, SARIF, MCP) goes through one redact(): API-key shapes and email addresses are masked as <redacted key> / <redacted email> wherever they appear (a URL literal, a path), and the evidence of secret.* and privacy.* findings is also stripped of any long token-like value.

The weight tables live in code_guardian/score.py (TABLES); tests/test_readme_sync.py fails if the tables in this README drift from them.

Scan status

Can I trust this scan? Every report carries a status, the reasons for it, and the outcome of every scanner, check and the file walk (ran, skipped with a reason, or crashed with the error):

Binary files, symlinks and large non-source files (images, design files) are only ever secret-scanned; skipping them is listed in the notes but does not make a scan PARTIAL.

JSON shape (--json, and the MCP scan tool)

{
  "tool", "version", "schema_version": 2, "path", "goal_file",
  "status": "COMPLETE" | "PARTIAL" | "INVALID", "status_reasons": [...],
  "outcomes": [{"check", "outcome": "ran" | "skipped" | "crashed", "reason"}],
  "files": {"python", "manifests", "other", "skipped", "ignored", "excluded", "unparsed"},
  "other_languages": {".js": 1, ...},
  "anchor": "pyproject.toml",                (the file repo-level findings are attached to in SARIF)
  "scores": {"safe", "works", "complete", "overall", "grade", "grade_uncapped", "capped", "cap_reason"},
  "dimensions": {"safe" | "works" | "complete": {"score", "deducted",
                 "checks": [{"code", "level", "count", "weight", "deduction", "first",
                             "locations": [every distinct file:line, sorted, at most 20], "more": N}]}},
  "top": [the five biggest deductions, each a check row plus "dimension"],
  "weights": {"safe" | "works" | "complete": {"code LEVEL": weight}},
  "weights_rule": "...",
  "findings": [{"code", "severity", "level", "node", "summary", "evidence", "try", "confidence", "fix",
                "fingerprint", "new" (only with --baseline)}],
  "baseline": {"file", "version", "new", "known"}   (only with --baseline)
  "egress": [{"node", "level", "kind", "target"}],
  "hygiene": {"source", "goal", "entry_points", "keep", "findings", "counts", "notes"},
  "notes": [...],
  "explanation": {"label", "text"}          (only with --explain and a model that answered)
}

The MCP scan reply adds exit_code. Nothing in the report depends on the clock. schema_version 2 only adds keys to the v0.2 shape (which had no schema_version); every v0.2 key keeps its meaning. scores.grade (and grade_uncapped) is null for an INVALID scan; capped and cap_reason also cover the PARTIAL cap. SARIF carries status and status_reasons in the run properties; the text and Markdown reports print them under the scores.

Safe checks

net.egress targets that stay in the inventory at INFO: https to a named host, loopback, the local network (non-global addresses such as 10/8, 192.168/16 and 100.64/10, single-label names like gpu-box, .local, .lan, .internal, .home.arpa) and reserved documentation names (example.com, .test, .invalid).

The walk skips .git, venv/.venv, node_modules, __pycache__, dist, build and the tool caches, anything the root .gitignore matches (simple globs; ! negation is ignored), binary files, files over 2 MB and symlinks.

Secrets in the git history (opt-in)

code-guardian scan . --history [--history-depth 500]

A key deleted from a file is still in every clone's history. --history runs one read-only git command (an argument list, never a shell): git log -p --no-color --no-ext-diff --no-textconv --relative --format=%H --max-count=N -- . with the scanned repo's fsmonitor and signature-checking config switched off, so the repo cannot make the scan run a program. It checks only the lines commits added, with the secret.key key-shape rules, reads at most the last N commits (default 500) and at most 64 MB of log, and never modifies the repository. A key still present in the current file is left to secret.key; the oldest commit that added a value is the one reported. Without git, or when PATH is not a repository, the history check is skipped with a note (and the scan is PARTIAL, since what was asked did not run). The scan itself stays offline.

Invented and lookalike packages (Safe)

AI coding assistants sometimes suggest a package that does not exist. Anyone can register that name on PyPI and put anything in it, and attackers do exactly that with the names assistants invent. A package existing is not proof it is safe: these checks flag names worth a second look; they do not vouch for any package.

• Offline is the default and makes no network call. The bundled list, code_guardian/data/known_packages.txt.gz, holds about 960 widely used PyPI projects. It is hand-built (tools/known_packages.txt, written for this project and not derived from any download dataset) and verified to exist on PyPI by python tools/build_known_packages.py --verify. The brief asked for the top ~15,000 projects by downloads; the usual source (hugovk/top-pypi-packages) carries no licence we could confirm, so a smaller hand-built list ships instead. A name missing from it is not suspicious by itself, which is why offline misses are INFO.
• --online asks https://pypi.org/pypi/<name>/json (override with CODE_GUARDIAN_PYPI_URL, timeout CODE_GUARDIAN_PYPI_TIMEOUT, default 10 s) once per name per run. A timeout or error becomes a note; it never fails the scan. Online answers depend on PyPI and on today's date, so --online output is not reproducible run to run; offline output is.

Works checks

Will it work? Read from the parse and the manifests, never by importing or running anything.

How works.import_unresolved decides:

• Standard library: sys.stdlib_module_names plus the modules removed after 3.11 (distutils, imp, cgi…) and added since (annotationlib, compression), so the answer does not depend on which Python runs the scan.
• In the repo: any directory name or module stem in the tree (a script's sibling module counts).
• Declared: every dependency in pyproject.toml ([project], optional dependencies, dependency-groups, build-system.requires, Poetry, PDM, uv), setup.py (parsed, never run), setup.cfg, requirements*.txt, requirements/*.txt and Pipfile. Import names map to distributions through a bundled table of known mismatches (yaml→PyYAML, PIL→Pillow, cv2→opencv-python, sklearn→scikit-learn, bs4→beautifulsoup4, dateutil→python-dateutil…) plus the normalised name, python-X/pyX/X-python forms and namespace packages (google→google-cloud-*). It never reads the scanner's own installed packages: they describe this machine, not the repo.
• Product code only: test files and docs/ are not checked (their dependencies are dev tools, and tests often import modules they write at runtime).
• Not reported: imports inside either branch of try: … except ImportError, under if TYPE_CHECKING:, or under an if on a flag such a try sets (if has_simplejson:); setuptools and friends in setup.py.
• A dependency that is only installed because another one pulls it in still counts as undeclared: it works by accident. Undeclared dependencies have one owner, this check; Complete does not report them again.

Complete checks

Does it have what it needs? File presence plus basic parsing.

Lockfiles count only for applications. A repo is an application when it has any of these markers: a Dockerfile/Containerfile; a __main__.py while the project declares no [project.scripts]; or a module-level web app object (Flask(…), FastAPI(…), Starlette(…), Quart(…), Sanic(…), Django's get_wsgi_application()/get_asgi_application()). Markers under examples/, docs/, tests/ and similar folders do not count. A library (it has [project] and none of these markers) is not penalised for having no lockfile.

.env.example is required only for applications that read environment variables (the same markers as the lockfile rule), outside tests and examples. Libraries read optional variables such as NO_COLOR all the time and do not ship .env files; calibration showed every clean library tripping the check otherwise. A read through a variable that merely holds os.environ is not followed.

Undeclared dependencies are owned by works.import_unresolved; Complete reports only the opposite case, declared but unused. A repo with no Python source and no manifest has nothing for Works or Complete to check: it scores 100 there, and the report says so.

Baseline: gate on new findings only

An existing project rarely starts clean. Write a baseline once, commit it, and the gate then fails only on findings that are new since:

code-guardian baseline .                                   # writes ./code-guardian.baseline.json; commit it
code-guardian scan . --baseline code-guardian.baseline.json --fail-on WARN

• Each finding gets a fingerprint: sha256 of code | level | path | evidence line, where the evidence line is the source line the finding points at, stripped, whitespace collapsed and redacted. Line numbers are left out, so moving code up or down does not make a finding new; editing the line does. The baseline file holds the sorted fingerprints and the version that wrote them, nothing else.
• With --baseline, every finding carries new: true|false, the report says N new, M known, and --fail-on counts new findings only. A finding fixed since the baseline simply disappears; scan never rewrites the baseline file (run code-guardian baseline again to accept the current state).
• A baseline never hides the real grade. The scores, the grade and every finding are computed and shown exactly as without one; only the exit code changes.
• Same line twice counts twice: a third copy of a known line is new.
• SARIF results carry the fingerprint as partialFingerprints["codeGuardian/v1"] and new in their properties.

Diff and repair plan

code-guardian scan . --json > before.json
code-guardian plan .                         # what to fix next: Markdown (--json for JSON), --top N rows (default 10)
# ...edit...
code-guardian scan . --json > after.json
code-guardian diff before.json after.json    # what the change fixed and broke; exit 1 when anything regressed

diff BEFORE.json AFTER.json compares two scan --json reports (0.3 or newer) by fingerprint: fixed, new and unchanged findings, per-dimension score deltas, and a one-line verdict: improved, regressed, mixed or unchanged. A new WARN/FAIL finding, or a status that got worse (COMPLETE → PARTIAL → INVALID), is a regression; INFO findings are listed but never decide the verdict. Exit 1 when anything regressed (regressed or mixed), 2 when a report cannot be read.

plan PATH is the repair plan. For each check row it re-runs the scoring on the finding list without that row: the exact Overall points the row is worth, labelled estimated gain if fixed (the plan never touches the code, so fixing more or less than the whole row changes the real gain). Rows are ranked by that gain, ties by the fewest locations, and each comes with the catalogue's "how to fix it" and every location. When a dimension is floored at 0 (more than 100 points deducted), no single fix in it moves Overall yet: its rows show +0 and the plan says how many points must go first.

Outputs, GitHub Action and pre-commit

Every format is deterministic: no timestamps, no absolute paths. --fail-on works the same with each. The MCP scan tool keeps returning JSON.

GitHub Action (action.yml in this repo, a composite action). It installs code-guardian from the action's own checkout, writes code-guardian.sarif, adds the Markdown report to the job summary, uploads the SARIF to code scanning, and then fails the job when a finding is at or above fail-on:

name: code-guardian
on: [push, pull_request]
permissions:
  contents: read
  security-events: write   # for the SARIF upload
jobs:
  scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: LuminariSoftwares/code-guardian@v0.3.1
        with:
          path: .
          fail-on: FAIL        # or WARN
          online: "false"      # "true" asks PyPI about unknown dependency names

Inputs: path, fail-on, online, baseline (a committed baseline file: gate on new findings only), sarif-file (default code-guardian.sarif), upload-sarif (default true), python-version (default 3.11). Outputs: overall, grade, exit-code. Inputs reach the shell only through environment variables, never by text substitution.

pre-commit (.pre-commit-hooks.yaml). It scans the whole repository, not just the staged files:

repos:
  - repo: https://github.com/LuminariSoftwares/code-guardian
    rev: v0.3.1
    hooks:
      - id: code-guardian
        # args: [--fail-on, WARN]
      # or, with a committed baseline, fail only on new findings:
      # - id: code-guardian-new

Check catalogue

Every finding code: what it means, how to fix it, and when it can be wrong. Weights are in the dimension tables above. Two rules apply across Safe:

• Test code and documentation are reported at INFO. Safe findings in tests (tests/, test_*.py, conftest.py, fixture and test-data folders) and in documentation (docs/, .md, .rst, .txt) keep their place in the report but do not score: users run the product, not its tests or its doc samples. Two exceptions keep their level: API-key shapes (a real key is leaked wherever it sits) and exec of decoded data (a payload in conftest.py runs on every pytest).
• Calibration. Each false-positive note below comes from scanning five well-known clean projects and the four guardian repositories; see calibration.md.

Goal contract

code-guardian.goal.toml at the project root (optional) says what the project is for and where it starts:

goal = "One sentence: what this project is for."
entry_points = ["pkg.cli:main", "pkg.server:app"]   # module:function, or module:__main__ for its main block
keep = ["pkg.plugins.*"]                             # loaded dynamically; never reported
exclude = ["tests/fixtures/*"]                       # path globs the scan skips (the report counts them)

code-guardian init            # writes a starter file with the inferred entry points; --force replaces one
code-guardian orphans .       # hygiene only

Without a contract, entry points are inferred from [project.scripts] (and setup.cfg console scripts), if __name__ == "__main__": blocks, __main__.py files and __all__ of top-level packages, and the report says "inferred". With no entry points at all, nothing is reported.

The call graph is built with ast from imports, from x import y, attribute use on imported modules and method calls. Anything not reachable from an entry point is an orphan:

A method counts as used when its class is used and its name is read as an attribute anywhere reachable; a class with a base outside the project (a framework) keeps all its methods. A def wrapped in a registering decorator (@app.get, @click.command, @pytest.fixture) and a module-level __getattr__ are reached with their module, because the decorator or the interpreter calls them. For a library (inferred entry points, packaging metadata and no application marker), the public API counts as entry points: every public module, its public functions and classes, their public methods, and everything a public module re-exports (from ._client import Client, from ._transports import *); the hygiene source then reads "inferred (library public API)". Orphans go into the hygiene section and never touch the Safe score.

--explain

CODE_GUARDIAN_LLM_URL=http://127.0.0.1:11434/api/chat CODE_GUARDIAN_LLM_MODEL=qwen3:8b code-guardian scan . --explain

CODE_GUARDIAN_LLM_URL is an Ollama /api/chat URL or any OpenAI-compatible /v1/chat/completions URL, detected by path (a bare host means Ollama, a .../v1 base means OpenAI-compatible). Optional: CODE_GUARDIAN_LLM_KEY (bearer token), CODE_GUARDIAN_LLM_TIMEOUT (seconds, default 60).

Guarantees, each covered by a test against a stub model on loopback:

• It never changes a score. The report with --explain equals the report without it, plus one block labelled model explanation (not part of the score) and one note line.
• It sends findings only: code, level, file:line and the ≤120-character summary, plus the scores, grade and hygiene counts. No source code, no evidence lines, no secret values.
• It talks to one URL: the one you configured, directly (no proxy). The scan itself never touches the network.
• It fails soft: with the URL unset or unreachable, the report is unchanged and one note line says why.

MCP server

code-guardian-mcp (or code-guardian mcp) speaks MCP over stdio with five read-only tools, each with a title and readOnlyHint: true, destructiveHint: false, idempotentHint: true:

A path argument is resolved and must exist. Claude Code:

claude mcp add code-guardian -- uvx code-guardian-mcp mcp

Any MCP client:

{
  "mcpServers": {
    "code-guardian": {
      "command": "uvx",
      "args": ["code-guardian-mcp", "mcp"],
      "env": {"CODE_GUARDIAN_LLM_URL": "http://127.0.0.1:11434/api/chat", "CODE_GUARDIAN_LLM_MODEL": "qwen3:8b"}
    }
  }
}

The env block is only needed for explain.

Limitations

• Only Python is analysed. Manifests (package.json, setup.py, setup.cfg, pyproject.toml, requirements*.txt) are read for install hooks and pins; every other language gets the secret scan only, and the report says which files.
• Static analysis cannot see runtime behaviour. A finding means the code is there, not that it runs; code that builds its behaviour at runtime (downloaded plugins, exec of fetched text) is flagged where the parse can see it and invisible where it cannot. A grade A is "nothing the scanners recognise", not "proven safe".
• Python files are parsed by the interpreter running code-guardian. Run it with a Python at least as new as the project's requires-python; when it is older, a parse failure is reported as works.syntax INFO, not FAIL.
• Taint tracking for exec.shell FAIL is one function deep: assignments inside the same function, not calls between functions.
• The orphan graph over-approximates "used" (a method name read anywhere keeps every reached class's method of that name), so it reports less dead code rather than wrong dead code.
• .gitignore support is simple globs from the root file; negation (!) and nested .gitignore files are ignored.

Every module tests itself

python -m code_guardian.scanners --selftest
scanners selftest: 27 checks, 27 passed, 0 failed

Each of finding, walk, scanners, manifests, score, goal, orphans, works, complete, supply, explain, report, cli, mcp_server, baseline, verify, history and leftovers has one; tests/test_selftests.py runs them all.

License

MIT. See LICENSE.