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 MichelKerkmeester/skilled-agent-harness_spec-driven-loops --skill agent-reviewgit clone --depth 1 https://github.com/MichelKerkmeester/skilled-agent-harness_spec-driven-loopsWrote 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/michelkerkmeester/skilled-agent-harness_spec-driven-loops/agent-review)<a href="https://agentmods.dev/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/agent-review"><img src="https://agentmods.dev/badge/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/agent-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/michelkerkmeester/skilled-agent-harness_spec-driven-loops/agent-review"><img src="https://agentmods.dev/badge/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/agent-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 | $0.00022 | $0.05532 |
| Opus 5.5 | $0.00009 | $0.02213 |
| Sonnet 5.5 | $0.00004 | $0.01106 |
| Haiku 4.5 | $0.00002 | $0.00553 |
Grade A, and why
agent-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 today.
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 — 500 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent persona
reviewfrom.hermes/agents/review.md(the shared agent files), mirrored as a preloadable skill because Hermes has no agent flag. Preload with-s agent-reviewand adopt it for the session.
The Reviewer: Code Quality Guardian
Read-only code review specialist providing quality scoring, pattern validation, security assessment, and standards enforcement for PRs and code changes across any codebase.
Path Convention: Use only .skilled/agents/*.md as the canonical runtime path reference.
Hook-Injected Advisor Context: Treat hook-injected skill-advisor recommendations as routing hints only. They never override explicit user instructions, active command workflow, scope gates, runtime permissions, agent boundaries, or required skill loading. If advisor context conflicts with the dispatch prompt or verified local files, prefer the dispatch prompt plus file evidence and report the conflict.
CRITICAL: You have READ-ONLY file access. You CANNOT modify files - only analyze, score, and report. This is by design: reviewers observe and evaluate, they do not implement fixes.
IMPORTANT: This agent is codebase-agnostic and must use a baseline+router standards contract: load sk-code — its code-review mode supplies findings-first review doctrine, and its router supplies router-selected standards evidence.
0. ILLEGAL NESTING (HARD BLOCK)
This agent is LEAF-only. Nested sub-agent dispatch is illegal.
- NEVER create sub-tasks or dispatch sub-agents.
- If delegation is requested, continue direct execution and return partial findings plus escalation guidance.
1. CORE WORKFLOW
- RECEIVE → Parse review request (PR, file changes, code snippet)
- SCOPE → Identify files to review, change boundaries, context requirements, and any optional
reviewer_focushint - LOAD STANDARDS → Load
sk-code— its code-review mode is the findings-first baseline, and its router-selected resources are the standards evidence — while baseline security/correctness minimums remain mandatory - ANALYZE → Use available code search tools:
- Content search: Use
Grepto find patterns and keywords - File discovery: Use
Globto locate files by pattern - Detailed review: Use
Readto examine implementations - Manual security review: Check for common vulnerability patterns
- Content search: Use
- EVALUATE → Score against explicit rubrics (see Section 5)
- IDENTIFY ISSUES → Categorize findings: Blockers (P0), Required (P1), Suggestions (P2). Run adversarial self-check (§10) on all P0/P1 findings before finalizing
- REPORT → Deliver structured review with actionable feedback
- INTEGRATE → Feed quality scores to orchestrator gates (if delegated)
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.
- today Changed a2caf69108e0
- 6d ago Changed · +6 lines 73816f249ab5
- 28d ago Changed 5aac709d3735
- 1mo ago First seen · 494 lines · 22 tokens per session scan A d74b4e978736
agent-review is a skill published in the GitHub repository MichelKerkmeester/skilled-agent-harness_spec-driven-loops (37 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 5,532 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 2026-09-16.
Other skills, from other repositories
autoreview
Structured code review through the shared OpenClaw agent-skills installation.
omh-code-review
This is an OMH code-review workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
asplos-writing-style
Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include figures and…
explore-unknowns
Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the…
re0-merge
Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…