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 skills add davidtoby/agent-skills --skill github-code-reviewgit clone --depth 1 https://github.com/davidtoby/agent-skillsWrote 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/davidtoby/agent-skills/github-code-review)<a href="https://agentmods.dev/skills/davidtoby/agent-skills/github-code-review"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/github-code-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.
<a href="https://agentmods.dev/skills/davidtoby/agent-skills/github-code-review"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/github-code-review.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00018 | $0.03671 |
| Opus 5 | $0.00009 | $0.01835 |
| Sonnet 5 | $0.00004 | $0.00734 |
| Haiku 4.5 | $0.00002 | $0.00367 |
Grade C, and why
github-code-review scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reaches for credential fileshighPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
elif grep -q "github.com" ~/.git-credentials 2>/dev/null; then Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Perform code reviews on local changes before pushing, or review open PRs on GitHub. Most of this skill uses plain `git` — the `gh`/`curl` split only matters for PR-level interactions. This is a copy
89% identical to github-code-review — 29 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 481 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Code Review
Perform code reviews on local changes before pushing, or review open PRs on GitHub. Most of this skill uses plain git — the gh/curl split only matters for PR-level interactions.
Prerequisites
- Authenticated with GitHub (see
github-authskill) - Inside a git repository
Setup (for PR interactions)
if command -v gh &>/dev/null && gh auth status &>/dev/null; then
AUTH="gh"
else
AUTH="git"
if [ -z "$GITHUB_TOKEN" ]; then
if [ -f ~/.hermes/.env ] && grep -q "^GITHUB_TOKEN=" ~/.hermes/.env; then
GITHUB_TOKEN=$(grep "^GITHUB_TOKEN=" ~/.hermes/.env | head -1 | cut -d= -f2 | tr -d '\n\r')
elif grep -q "github.com" ~/.git-credentials 2>/dev/null; then
GITHUB_TOKEN=$(grep "github.com" ~/.git-credentials 2>/dev/null | head -1 | sed 's|https://[^:]*:\([^@]*\)@.*|\1|')
fi
fi
fi
REMOTE_URL=$(git remote get-url origin)
OWNER_REPO=$(echo "$REMOTE_URL" | sed -E 's|.*github\.com[:/]||; s|\.git$||')
OWNER=$(echo "$OWNER_REPO" | cut -d/ -f1)
REPO=$(echo "$OWNER_REPO" | cut -d/ -f2)
1. Reviewing Local Changes (Pre-Push)
This is pure git — works everywhere, no API needed.
Get the Diff
# Staged changes (what would be committed)
git diff --staged
# All changes vs main (what a PR would contain)
git diff main...HEAD
# File names only
git diff main...HEAD --name-only
# Stat summary (insertions/deletions per file)
git diff main...HEAD --stat
Review Strategy
- Get the big picture first:
git diff main...HEAD --stat
git log main..HEAD --oneline
- Review file by file — use
read_fileon changed files for full context, and the diff to see what changed:
git diff main...HEAD -- src/auth/login.py
- Check for common issues:
# Debug statements, TODOs, console.logs left behind
git diff main...HEAD | grep -n "print(\|console\.log\|TODO\|FIXME\|HACK\|XXX\|debugger"
# Large files accidentally staged
git diff main...HEAD --stat | sort -t'|' -k2 -rn | head -10
# Secrets or credential patterns
git diff main...HEAD | grep -in "password\|secret\|api_key\|token.*=\|private_key"
# Merge conflict markers
git diff main...HEAD | grep -n "<<<<<<\|>>>>>>\|======="
What ships with it
1 file 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.
- 6d ago First seen · 481 lines · 18 tokens per session scan C d043a4ce6a90
github-code-review is a skill published in the GitHub repository davidtoby/agent-skills (10 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 3,671 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (reaches for credential files, makes network calls). It is 89% identical to github-code-review, differing in 29 lines, and is treated as a copy.
Other skills, from other repositories
code-review-checklist
Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability.
compound-engineering
Make your AI agent learn and improve automatically. Reviews sessions, extracts learnings, updates memory files, and compounds knowledge over time. Set up nightly review loops that make your agent smarter every day.
compound-engineering
Make your AI agent learn and improve automatically. Reviews sessions, extracts learnings, updates memory files, and compounds knowledge over time. Set up nightly review loops that make your agent smarter every day.
clean-code
Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments.
address-github-comments
Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.
ai-code-review
AI-powered code review for staged git changes. Catches bugs, security issues, and code smells before you push.