Compares a .env file with its .env.example template and reports missing keys, undocumented extra keys, empty values and example files that contain real looking secrets. Use when the user asks why an app fails on startup with missing configuration, or wants to check environment files before committing.
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实测评分 未实测
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Keeps .env and .env.example in step and stops secrets from leaking into the example file.
.env.example has no real credentials.python scripts/audit_env.py .env .env.example
The first argument is the real file, the second is the template.
JSON with:
missing: keys in the template that the real file does not define.extra: keys in the real file that the template does not document.empty: keys that are defined but have no value in the real file.suspicious_example_keys: keys in the template whose value looks like a real secret (long, mixed characters, on a name that contains KEY, SECRET, TOKEN or PASSWORD).The exit code is 1 when anything is reported. Values are never printed, only key names.
Fix suspicious_example_keys first: replace the value with a placeholder such as changeme, and rotate the
secret if the file was ever committed. Then add extra keys to the template and ask the user for missing values.
A missing file exits with code 2.
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Runs a list of HTTP checks against a base URL from a JSON file and reports status codes, response time and body assertions. Use when the user asks whether an API is up, wants a smoke test after a deploy, or needs to verify that endpoints return what the docs promise.
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Turns git log output into a grouped markdown changelog using conventional commit prefixes such as feat, fix and docs. Use when the user prepares a release, asks for release notes, or wants a summary of what changed between two tags.
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Writes clear git commit messages in the conventional commits style from a diff or a description of the change. Use when the user asks for a commit message, wants to tidy up a message before pushing, or has staged changes and no wording yet.
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Profiles a CSV file column by column, reporting inferred type, missing values, unique counts and min, max and mean for numeric columns. Use when the user hands over a CSV and asks what is in it, whether the data is clean, or what to check before analysis.
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Checks a Dockerfile for common problems such as unpinned base images, running as root, ADD instead of COPY, secrets in ENV or ARG and apt-get without cleanup. Use when the user asks to review, harden or slim down a Dockerfile.
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Compares two JSON files structurally and lists added, removed and changed values with their full paths. Use when the user asks what changed between two API responses, config files, fixtures or package manifests.
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