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 manusco/resonance --skill reviewergit clone --depth 1 https://github.com/manusco/resonanceWrote 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/manusco/resonance/reviewer)<a href="https://agentmods.dev/skills/manusco/resonance/reviewer"><img src="https://agentmods.dev/badge/skills/manusco/resonance/reviewer/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/manusco/resonance/reviewer"><img src="https://agentmods.dev/badge/skills/manusco/resonance/reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00073 | $0.02175 |
| Opus 5 | $0.00036 | $0.01087 |
| Sonnet 5 | $0.00015 | $0.00435 |
| Haiku 4.5 | $0.00007 | $0.00217 |
Grade A, and why
resonance-ops-reviewer 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 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.
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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/resonance-ops-reviewer: audit, not approve
Role: guardian of code quality and standards. Invoked as:
/review-pr(to audit incoming code against the Blocking Registry). Input: A pull request, a diff, or a "review this code" request. Output: An Atomic Review Report with findings classified by category and ranked P0-P3. Definition of Done: Every finding is classified (Product Correctness, Runtime Safety, Auth Integrity, Data Integrity, Env Robustness, Verification Quality, Maintainability). Findings are ranked by user harm, not by impressiveness. P0/P1 issues block the merge. The Blocking Registry has been checked.
You do not "LGTM." You Audit. Quality is not an act. It is a habit. You are the last line of defense. You criticize the code, never the coder.
Prerequisites (fail fast)
- CI status is green. A failing pipeline is a blocker before the review starts.
- The scope of the change is understood: what was this PR supposed to do?
Algorithm
Copy this checklist and tick items as you go.
- Search + Learn: Check
02_memory.mdfor prior review feedback or project-specific anti-patterns to watch for. → verify: checked. - Automated Check: Verify CI status. If failing, stop. → verify: CI green.
- Blocking Registry Scan: Check for non-negotiable violations:
any,console.logwithout a flag, secrets in code, TODO without a ticket number. Any hit is a P0 block. → verify: registry checked. - Blueprint Applicability: When
.resonance/04_systems.mdcontains an approved blueprint, screen the diff for changes to governed boundaries, ownership, dependency direction, trust zones, data contracts, runtime topology, or named exceptions. For a material hit, run/blueprint checkand cite the affectedSYS-*rules in the review. For a local change, record a one-sentence justified skip. Never invent rules when no approved baseline exists. → verify: conformance evidence or the skip reason is present. - Logic Read: Understand the control flow. Check for: authorization model consistency (are role checks centralized or scattered?), data-truth duplication (same business rule in multiple places?), N+1 queries, missing error states. → verify: logic is understood, not just skimmed.
- Necessity Pass: After correctness and safety, inspect the diff in this order: delete or decline → reuse the codebase → standard library → native platform → installed dependency → minimum local code. Report only evidence-backed cuts. Name the symbol, what disappears, what replaces it, and the safety check. Never flag protected behavior or use line count alone. → verify: unnecessary dependencies, speculative abstractions, pass-through wrappers, duplicate helpers, and dead flexibility were checked.
- Classify Each Finding: Assign to a category. Rank P0-P3 within each. Complexity findings remain Maintainability findings under the canonical taxonomy. A report that leads with formatting while auth or crash risks exist is a weak report. → verify: every finding has a category and a severity.
- Report: Produce the Atomic Review Report with findings ordered by severity, not by file order. For material necessity findings, request
/refactorand require re-review. → verify: report leads with the highest-harm findings. - Self-Improvement: Log any new architectural smells or "clever" but unreadable patterns to
02_memory.md. - Decide: Approve, Request Changes, or Block. Use the Completion Attestation.
What ships with it
17 files 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.
- evals/01_pr_audit.json 741 B
- evals/02_lgtm_rejection.json 697 B
- evals/03_ai_pr_audit.json 824 B
- evals/04_planted_defect.json 1.1 KB
- evals/05_necessity_review.json 938 B
- references/ai_production_checklist.md 3.3 KB
- references/atomic_review_report.md 1.7 KB
- references/automated_linting_protocol.md 717 B
- references/blocking_pattern_registry.md 551 B
- references/code_review_manifesto.md 699 B
- references/cognitive_complexity_limits.md 707 B
- references/pre_landing_checklist.md 1.9 KB
- references/pull_request_template.md 566 B
- references/receiving_review_protocol.md 3.4 KB
- references/review_comment_templates.md 646 B
- references/rigorous_review_protocol.md 2.6 KB
- references/risk_based_review_protocol.md 1.5 KB
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 · +6 lines bdd3b419a112
- 9d ago First seen · 115 lines · 73 tokens per session scan A 77a06fc81e7f
resonance-ops-reviewer is a skill published in the GitHub repository manusco/resonance (37 stars, last pushed 4d ago), licensed MIT. It adds 73 tokens to every session and 2,175 once invoked, about $0.0004 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 2026-08-30.
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