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🧪 AI Build Sanity Check
Catch visible signs that an AI-built app is not finished Run a local, read-only Python scanner before a demo, review, or launch.
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You say
Scan the current repo. Did the AI actually finish this or are there still mocks and placeholders?
Your agent does
SUMMARY findings=11 deterministic=10 advisory=1 ABS002 high fixtures/risky-sample/app.py:4 The app returns fake or sample data as if it were real. Plain fix: connect real data or label it as demo-only. ABS005 high fixtures/risky-sample/app.py:13 This endpoint returns success without doing visible work. Plain fix: do the action before returning success. ABS006 medium advisory fixtures/risky-sample/app.py:18 A named feature has an empty or throwing handler. Plain fix: connect the handler or remove the feature until it is ready.
What you get
About this skill
Catch visible signs that an AI-built app is not finished
Run a local, read-only Python scanner before a demo, review, or launch. Each finding reports a rule ID, severity, file, line, and plain-English next step. The scanner does not modify or execute the app.
Six defined checks
- Build-marker terms such as TODO, FIXME, “not implemented,” and NotImplementedError.
- Return lines containing configured fake, mock, sample, dummy, or placeholder terms.
- Python except blocks followed by pass and same-line empty JavaScript catch blocks.
- Configured placeholder strings in supported source, config, and .env files.
- Return lines with success, ok, or status near a supported route marker.
- Route-adjacent empty or throwing handler markers as advisory review prompts.
What you receive
The package includes the standard-library scanner, editable JSON rule table, remediation snippets, audit checklist, explanations, clean and risky fixtures, and a test file. The fixture test passes with 11 findings: 10 deterministic and 1 advisory.
Know the boundary
This is line- and term-based static analysis, not proof of unfinished behavior. It can flag intentional TODOs, demo code, or legitimate success responses and can miss patterns written differently. It does not run the app, test behavior, or assess security.
Handle .env deliberately
The scanner reads supported local files, including .env files within the chosen path, to find configured placeholder terms. It reports file, line, rule, severity, and a generic message—not the matched line or value—but you should scope the run away from .env if you do not want that file read.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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