AICodingFlow: Skill for Claude Code

.github/skills/update-pr-review/SKILL.md

update-pr-review is a skill for Claude Code, Codex from Terry-Mao/AICodingFlow. It costs 31 tokens per session (927 once invoked), scanned A, original, MIT.

Instructions for improving local pull-request review guidance from feedback written by human reviewers on GitHub.

In plain words
What is it for?
It is for reading aggregated review feedback, deciding whether guidance should change, and writing the proposed update and status files for the repository workflow.
Why use it?
It helps repeated review preferences and useful corrections become concise project-specific guidance for future automated reviews.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

This is Terry-Mao/AICodingFlow's own configuration. It tells Claude Code and Codex how to work on AICodingFlow itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything AICodingFlow configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Terry-Mao/AICodingFlow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Terry-Mao/AICodingFlow/main/.github/skills/update-pr-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Terry-Mao/AICodingFlow

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for update-pr-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/terry-mao/aicodingflow/update-pr-review/github.svg)](https://agentmods.dev/skills/terry-mao/aicodingflow/update-pr-review)
Your own site
<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/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for update-pr-review

Your own site · 80×15
<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="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 927 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 5 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 33
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 97
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 98
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 111
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 112
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00031 $0.00927
Opus 5.5 $0.00012 $0.00371
Sonnet 5.5 $0.00006 $0.00185
Haiku 4.5 $0.00003 $0.00093

Measured 1mo ago against content hash d2ba501cdaae, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 1mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/aggregate_review_feedback.py, scripts/apply_guidance_output.py, scripts/validate_write_surface.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.github/skills/update-pr-review/SKILL.md · 125 lines

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

  1. Read the aggregated feedback JSON provided by the runner.
  2. Identify repeated human-feedback patterns or stable repo preferences.
  3. Convert those patterns into concise repo-specific guidance.
  4. Write proposed local companion skill content to update-pr-review-output/.
  5. 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:

  • changed when guidance should be updated
  • no_change when evidence is insufficient or already covered
  • error when 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.md
  • update-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

Read the full file on GitHub · 125 lines

Files

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.

Changes

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.

  1. 1mo ago First seen · 125 lines · 31 tokens per session scan A d2ba501cdaae

Subscribe to this mod's changes

update-pr-review is a skill published in the GitHub repository Terry-Mao/AICodingFlow (169 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 927 once invoked, about $0.0001 per session on Opus 5.5. 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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