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/update-pr-reviewnpx skills add Terry-Mao/AICodingFlow --skill update-pr-reviewgit 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/update-pr-review)<a href="https://agentmods.dev/skills/terry-mao/aicodingflow/update-pr-review"><img src="https://agentmods.dev/badge/skills/terry-mao/aicodingflow/update-pr-review.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 | $0.00031 | $0.00927 |
| Opus 5 | $0.00015 | $0.00464 |
| Sonnet 5 | $0.00006 | $0.00185 |
| Haiku 4.5 | $0.00003 | $0.00093 |
Grade A, and why
update-pr-review 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
update-pr-review
Use this skill to turn human feedback on bot PR reviews into concise updates to repo-local review companion skills.
This skill owns only the self-evolution logic: how to turn aggregated human
feedback into local review guidance. The GitHub Actions runner owns data
collection, write-surface validation, commits, pushes, and PR creation.
When run inside GitHub Actions, .agents may be read-only. Write proposed
changes only to update-pr-review-output/; the runner applies them.
Workflow
- Read the aggregated feedback JSON provided by the runner.
- Identify repeated human-feedback patterns or stable repo preferences.
- Convert those patterns into concise repo-specific guidance.
- Write proposed local companion skill content to
update-pr-review-output/. - Stop; the runner validates and publishes the result.
Output Contract
Always write update-pr-review-output/status.json:
{
"status": "changed",
"reason": "Brief evidence summary.",
"updated_files": [".github/skills/review-pr-repo/SKILL.md"]
}
Allowed statuses:
changedwhen guidance should be updatedno_changewhen evidence is insufficient or already coverederrorwhen feedback cannot be interpreted safely
Use no_change when there is no human evidence. Agent-only feedback is not
enough to update guidance.
For changed, write the complete replacement content for each updated file:
update-pr-review-output/review-pr-repo/SKILL.mdupdate-pr-review-output/review-spec-repo/SKILL.md
Do not edit .agents directly.
Learn And Edit
Read the JSON and look for patterns worth adding to local review rules:
- humans clearly said an agent comment was wrong
- the finding was directionally right, but severity, scope, or line target was wrong
- the comment was not actionable
- reviewers repeatedly emphasized a repo-specific check
- human-only review threads reveal stable repo preferences
- a pattern belongs in the top-level summary instead of inline comments
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 125 lines · 31 tokens per session scan A d2ba501cdaae
update-pr-review is a skill published in the GitHub repository Terry-Mao/AICodingFlow (165 stars, last pushed 8d ago), licensed MIT. It adds 31 tokens to every session and 927 once invoked, about $0.0002 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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