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 agentmods add skills/qgolem/orc/reviewnpx skills add qGolem/orc --skill reviewgit clone --depth 1 https://github.com/qGolem/orcWrote 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/qgolem/orc/review)<a href="https://agentmods.dev/skills/qgolem/orc/review"><img src="https://agentmods.dev/badge/skills/qgolem/orc/review.svg" alt="Measured on agentmods" 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 | $0.00009 | $0.01790 |
| Opus 5 | $0.00005 | $0.00895 |
| Sonnet 5 | $0.00002 | $0.00358 |
| Haiku 4.5 | $0.00001 | $0.00179 |
Grade A, and why
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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review
Orchestrated code review that launches 5 specialized agents in parallel.
Input
- $ARGUMENTS — Review scope (optional)
- Empty/omitted: unstaged changes (
git diff) staged: staged changes (git diff --cached)HEAD: last commit (git show HEAD)<commit>: specific commit<file1> <file2>...: specific files<branch>: changes on branch vs main
- Empty/omitted: unstaged changes (
Agents
| Agent | Focus |
|---|---|
orc:code-reviewer |
CLAUDE.md compliance, bugs, quality |
orc:silent-failure-hunter |
Error handling, silent failures |
orc:test-analyzer |
Test coverage, gaps, quality |
orc:type-design-analyzer |
Type invariants, encapsulation |
orc:frontend-verifier |
UI verification via browser automation |
Process
Step 1: Enter Plan Mode
Use EnterPlanMode tool to enter planning mode. The review findings will form the plan for fixes.
Step 2: Determine Review Scope
Parse $ARGUMENTS to determine what to review:
if $ARGUMENTS is empty:
scope = "unstaged changes"
diff_cmd = "git diff"
elif $ARGUMENTS == "staged":
scope = "staged changes"
diff_cmd = "git diff --cached"
elif $ARGUMENTS == "HEAD":
scope = "last commit"
diff_cmd = "git show HEAD"
elif $ARGUMENTS matches commit hash:
scope = "commit $ARGUMENTS"
diff_cmd = "git show $ARGUMENTS"
else:
scope = "$ARGUMENTS"
diff_cmd = "git diff -- $ARGUMENTS" (or read files directly)
Run the diff command to get the changes to review.
Step 3: Launch 5 Parallel Review Agents
Launch ALL agents simultaneously using Task tool with subagent_type="orc:<agent>".
Critical: Send a SINGLE message with 5 Task tool calls to run them in parallel.
<Task subagent_type="orc:code-reviewer" description="Code review: guidelines">
Review scope: $scope
$diff_output
Review these changes against project guidelines (CLAUDE.md).
Focus on: compliance, bugs, code quality.
Report issues with confidence ≥80 only.
</Task>
<Task subagent_type="orc:silent-failure-hunter" description="Code review: error handling">
Review scope: $scope
$diff_output
Audit error handling in these changes.
Focus on: silent failures, empty catches, poor feedback.
Flag CRITICAL/HIGH/MEDIUM severity issues.
</Task>
<Task subagent_type="orc:test-analyzer" description="Code review: test coverage">
Review scope: $scope
$diff_output
Analyze test coverage for these changes.
Focus on: critical gaps, edge cases, test quality.
Rate gaps 1-10 (10 = must have).
</Task>
<Task subagent_type="orc:type-design-analyzer" description="Code review: type design">
Review scope: $scope
$diff_output
Evaluate type designs in these changes.
Focus on: invariants, encapsulation, enforcement.
Rate each dimension 1-10.
</Task>
<Task subagent_type="orc:frontend-verifier" description="Code review: UI verification">
Review scope: $scope
$diff_output
Verify the frontend still works correctly after these changes.
IMPORTANT: Backend API changes can break frontend even if no frontend files changed.
For backend changes: Test that frontends consuming these APIs still work.
For frontend changes: Test rendering, interactions, visual regressions.
Always:
1. Start the relevant services (backend + frontend)
2. Test key user flows end-to-end
3. Capture screenshots at each major step
4. Report any errors, broken flows, or unexpected behavior
</Task>
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.
- 4d ago First seen · 266 lines · 0 tokens per session scan A 720f763ebebb
review is a skill published in the GitHub repository qGolem/orc (5 stars, last pushed 5mo ago), licensed MIT. It adds 9 tokens to every session and 1,790 once invoked, about $0.0000 per session on Opus 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 2026-08-31.
Other skills, from other repositories
new-skill
Scaffold a new brooks-lint analysis skill so it passes npm run validate and npm run evals on the first try — generates skills/{name}/SKILL.md (with the mandatory "Do NOT trigger for:" clause and a Process section citing guide step ranges) plus skills/{name}/{name}-guide.md (sequentially numbered steps), then appends…
status
Where is the work right now. Regenerates the projections and the kanban board from the journal and answers with the progress line, the agents still running, the open gates and the resume steps. Read-only. Use for /tyran:status or when asked what is going on.
prompt-tuning
Tune a prompt, or anything whose quality is measured by non-deterministic model output, without chasing noise - a noise baseline before the first edit, medians over repeated runs, enforcement AFTER generation rather than in the wording. Use when iterating on prompts or model-judged output.
brainstorm
Explores a codebase, researches the problem space, and produces an approved design specification before any code is written. Use when the user wants to create a new feature, add significant functionality, redesign a subsystem, or build something that touches multiple parts of the project.
a11y-audit
Dedicated WCAG 2.2 AA/AAA accessibility audit across 10 dimensions (A1-A10) covering semantic HTML, keyboard navigation, ARIA patterns, color contrast, forms, images/media, responsive/zoom, motion/animation, reading/content, and legal compliance. Goes far beyond surface-level design-review checks with deep…
api-audit
API and endpoint integrity audit across 10 dimensions (D1-D10) plus optional contract stability (D11) and optional OWASP API Security Top 10 (D12: BOLA/BOPLA/BFLA, mass assignment, JWT alg-confusion, GraphQL introspection). Covers validation, payloads, pagination, errors, caching, HTTP semantics, waterfalls, rate…