AICodingFlow: Skill for Claude Code

.agents/skills/review-pr-local/SKILL.md

review-pr-local is a skill for Claude Code, Codex from Terry-Mao/AICodingFlow. It costs 28 tokens per session (462 once invoked), scanned A, original, MIT.

A local version of a repository's pull-request review process, using the same review input and output format as continuous integration.

In plain words
What is it for?
It helps prepare local descriptions and diffs, run the repository's review workflow, and validate the resulting review file.
Why use it?
It lets developers inspect a branch before pushing or opening a pull request.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

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 →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 .github/scripts/prepare_local_review_inputs.py.

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/.agents/skills/review-pr-local/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 review-pr-local

README.md
[![agentmods](https://agentmods.dev/badge/skills/terry-mao/aicodingflow/review-pr-local/github.svg)](https://agentmods.dev/skills/terry-mao/aicodingflow/review-pr-local)
Your own site
<a href="https://agentmods.dev/skills/terry-mao/aicodingflow/review-pr-local"><img src="https://agentmods.dev/badge/skills/terry-mao/aicodingflow/review-pr-local/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 review-pr-local

Your own site · 80×15
<a href="https://agentmods.dev/skills/terry-mao/aicodingflow/review-pr-local"><img src="https://agentmods.dev/badge/skills/terry-mao/aicodingflow/review-pr-local.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 462 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 pass 7 Sept 2026
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 $0.00028 $0.00462
Opus 5.5 $0.00011 $0.00185
Sonnet 5.5 $0.00006 $0.00092
Haiku 4.5 $0.00003 $0.00046

Measured 1mo ago against content hash a4c4d12d2db2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-pr-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 1mo 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/review-pr-local/SKILL.md · 51 lines

What it actually says

review-pr-local

Use this skill after local implementation work and before pushing or creating a PR. It prepares the same review inputs used by the GitHub review workflow, then delegates review logic to review-pr.

Workflow

  1. 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. The pr_diff.txt snapshot is built from the local worktree diff. The command writes snapshots to a temporary directory and prints the selected review skill as skill=<path> plus exact file paths:
    python3 .github/scripts/prepare_local_review_inputs.py
    
  2. Read the skill path printed by the command.
  3. Follow the selected skill exactly. It will apply any referenced local companion guidance when present.
  4. Use only the printed snapshot paths as review inputs:
    • pr_description_path
    • pr_diff_path
    • spec_context_path when non-empty
  5. Inspect repository files from the current repository root when the review skill needs source context.
  6. Write the review output only to the printed review_path.
  7. Validate the review output:
    python3 .github/scripts/validate_review_json.py <pr_diff_path> <review_path>
    
  8. 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 code during this skill.
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 · 51 lines · 28 tokens per session scan A a4c4d12d2db2

Subscribe to this mod's changes

review-pr-local is a skill published in the GitHub repository Terry-Mao/AICodingFlow (169 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 462 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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