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 seaworld008/Commonly-used-high-value-skills --skill pr-review-expertgit clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-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/seaworld008/commonly-used-high-value-skills/pr-review-expert)<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/pr-review-expert"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/pr-review-expert/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/seaworld008/commonly-used-high-value-skills/pr-review-expert"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/pr-review-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 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 Data Exfiltration · line 268 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 271 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00035 | $0.03329 |
| Opus 5 | $0.00017 | $0.01665 |
| Sonnet 5 | $0.00007 | $0.00666 |
| Haiku 4.5 | $0.00003 | $0.00333 |
Grade A, and why
pr-review-expert scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -u "[email protected]:$JIRA_API_TOKEN" \ Copies of this mod
1 near-identical copy found in the catalogue:
- pr-review-expert — 86% identical, 46 lines differ
How it starts
The opening of the file, as written. The whole thing — 395 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PR Review Expert
Tier: POWERFUL Category: Engineering Domain: Code Review / Quality Assurance
Overview
Structured, systematic code review for GitHub PRs and GitLab MRs. Goes beyond style nits — this skill performs blast radius analysis, security scanning, breaking change detection, and test coverage delta calculation. Produces a reviewer-ready report with a 30+ item checklist and prioritized findings.
Core Capabilities
- Blast radius analysis — trace which files, services, and downstream consumers could break
- Security scan — SQL injection, XSS, auth bypass, secret exposure, dependency vulns
- Test coverage delta — new code vs new tests ratio
- Breaking change detection — API contracts, DB schema migrations, config keys
- Ticket linking — verify Jira/Linear ticket exists and matches scope
- Performance impact — N+1 queries, bundle size regression, memory allocations
When to Use
- Before merging any PR/MR that touches shared libraries, APIs, or DB schema
- When a PR is large (>200 lines changed) and needs structured review
- Onboarding new contributors whose PRs need thorough feedback
- Security-sensitive code paths (auth, payments, PII handling)
- After an incident — review similar PRs proactively
Fetching the Diff
GitHub (gh CLI)
# View diff in terminal
gh pr diff <PR_NUMBER>
# Get PR metadata (title, body, labels, linked issues)
gh pr view <PR_NUMBER> --json title,body,labels,assignees,milestone
# List files changed
gh pr diff <PR_NUMBER> --name-only
# Check CI status
gh pr checks <PR_NUMBER>
# Download diff to file for analysis
gh pr diff <PR_NUMBER> > /tmp/pr-<PR_NUMBER>.diff
GitLab (glab CLI)
# View MR diff
glab mr diff <MR_IID>
# MR details as JSON
glab mr view <MR_IID> --output json
# List changed files
glab mr diff <MR_IID> --name-only
# Download diff
glab mr diff <MR_IID> > /tmp/mr-<MR_IID>.diff
Workflow
Step 1 — Fetch Context
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 Changed · -29 tokens per session 0ed7e74d0359
- 9d ago First seen · 395 lines · 64 tokens per session scan A 0ddc10937e94
pr-review-expert is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (70 stars, last pushed 5d ago), licensed MIT. It adds 35 tokens to every session and 3,329 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
read-only-gh-pr-review
Review backend pull requests for correctness, security, performance, maintainability, and test coverage using GitHub CLI plus local repository inspection. Use when asked to review service-layer/API/database changes, audit backend branch diffs, summarize backend risk, or produce actionable must-fix/should-fix feedback.
omh-image-cards
This is a Hermes-native img-summary workflow skill.
omh-code-review
This is a Hermes-native code-review workflow skill.
omh-refactor-plan
This is a Hermes-native refactor-plan workflow skill.
omh-verification-gate
This is a Hermes-native verification-gate workflow skill.
review-sweep
Review oh-my-hermes pull requests that have not been reviewed at their current head commit. Run manually to sweep the open backlog, or pass a number to review one PR. Applies the repository's REVIEW.md policy and posts findings as a GitHub review with inline comments.