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 skills/terry-mao/aicodingflow/review-spec-localnpx skills add Terry-Mao/AICodingFlow --skill review-spec-localgit clone --depth 1 https://github.com/Terry-Mao/AICodingFlowWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/terry-mao/aicodingflow/review-spec-local)<a href="https://agentmods.dev/skills/terry-mao/aicodingflow/review-spec-local"><img src="https://agentmods.dev/badge/skills/terry-mao/aicodingflow/review-spec-local.svg" alt="Measured on agentmods" height="20"></a>What 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 5.1 | $0.00028 | $0.00451 |
| Opus 5 | $0.00014 | $0.00226 |
| Sonnet 5 | $0.00006 | $0.00090 |
| Haiku 4.5 | $0.00003 | $0.00045 |
Grade A, and why
review-spec-local 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 6d ago.
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.
This is a copy
86% identical to review-pr-local — 15 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
review-spec-local
Use this skill after local spec work and before pushing or creating a spec PR.
It prepares the same review inputs used by the GitHub review workflow, then
delegates review logic to review-spec.
Workflow
- From the repository root, prepare local review inputs. This prefers the
GitHub PR associated with the current branch for
pr_description.txt, then falls back to locally built PR metadata when the GitHub PR cannot be fetched. Thepr_diff.txtsnapshot is built from the local worktree diff. The command writes snapshots to a temporary directory and prints the selected review skill asskill=<path>plus exact file paths:python3 .github/scripts/prepare_local_review_inputs.py - Read the
skillpath printed by the command. - Follow the selected skill exactly. It will apply any referenced local companion guidance when present.
- Use only the printed snapshot paths as review inputs:
pr_description_pathpr_diff_path
- Inspect repository files from the current repository root when the review skill needs source context.
- Write the review output only to the printed
review_path. - Validate the review output:
python3 .github/scripts/validate_review_json.py <pr_diff_path> <review_path> - Validate that the review phase did not mutate repository files:
python3 .github/scripts/validate_local_review_result.py \ --baseline-status <baseline_status_path>
Safety Rules
- After input preparation, do not run
git add,git commit,git push,gh, or GitHub API commands. - Do not post comments or mutate GitHub state.
- Do not modify source, workflow, tests, specs, or skill files.
- If review discovers issues, report them through
review.json; do not fix specs during this skill.
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.
- 6d ago First seen · 50 lines · 28 tokens per session scan A c12f6fc2242d
review-spec-local is a skill published in the GitHub repository Terry-Mao/AICodingFlow (165 stars, last pushed 8d ago), licensed MIT. It adds 28 tokens to every session and 451 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to review-pr-local, differing in 15 lines, and is treated as a copy.
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