Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/microsoft/data-formulator/implementation-review-checklistgit clone --depth 1 https://github.com/microsoft/data-formulatorWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00324 | $0.00324 |
| Opus 5 | $0.00162 | $0.00162 |
| Sonnet 5 | $0.00065 | $0.00065 |
| Haiku 4.5 | $0.00032 | $0.00032 |
Grade A, and why
implementation-review-checklist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Implementation Review Checklist
After any substantive implementation, before the final response, review the uncommitted diff from a maintainer/code-review perspective. Do not only verify that the feature works.
Required Checks
- Inspect
git diff --statand relevant diffs to understand the actual blast radius. - Check responsibility boundaries: frontend UI, API route, service/helper, storage/session, and tests should each own the right part of the behavior.
- Check API semantics: endpoint names, HTTP methods, response shapes, and side effects must match the product action. Similar UI actions should call the same backend API.
- Check frontend/backend state consistency: after mutations, make sure Redux/local state, backend session/token/vault state, and subsequent list/status APIs agree.
- Check duplication: if two paths clear the same state or perform the same API flow, extract a small helper or route instead of copying logic.
- Check regression surfaces: refresh/reload/list/status paths must respect new flags or state, not just the primary click path.
- Check tests: add or update focused tests for the changed contract; include at least one test for the bug/regression path when practical.
- Check docs/rules/dev-guides when the change introduces or changes a cross-cutting convention.
Reporting
If issues are found during this review, fix clear issues before finalizing. If a trade-off remains, call it out explicitly in the final response with the risk and why it was left as-is.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 29 lines · 324 tokens per session scan A cd161143e4bb
implementation-review-checklist is a cursor rule published in the GitHub repository microsoft/data-formulator (17,048 stars, last pushed 3d ago), licensed MIT. It adds 324 tokens to every session, about $0.0016 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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