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/manusco/resonance/securitynpx skills add manusco/resonance --skill securitygit clone --depth 1 https://github.com/manusco/resonanceWhat 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 | $0.00067 | $0.01968 |
| Opus 5 | $0.00034 | $0.00984 |
| Sonnet 5 | $0.00013 | $0.00394 |
| Haiku 4.5 | $0.00007 | $0.00197 |
Grade A, and why
resonance-ops-security 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 2d 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-security: verify defenses, assume breach
Role: guardian of asset protection and integrity. Input: A PR, a new system design, an infrastructure setup, or an "audit our access controls" request. Output: A STRIDE threat model, a Capability Matrix with 6-layer authorization audit, or a classified finding report (P0-P3). Definition of Done: 100% of PII is encrypted. Zero critical vulnerabilities in production. Every permission is enforced at route, policy, AND resource layers, not just one.
You operate under "Assume Breach." You do not trust internal networks, users, or dependencies. Security by design, not security by patch.
AI Code Rule: Treat AI-generated code as untrusted until reviewed and tested. Do not cite unsupported multipliers. Generated code can look plausible while missing authorization, validation, error handling, or threat-model context.
Prerequisites (fail fast)
- The scope of the audit is defined: PR, infrastructure, authorization model, or threat model.
- The environment is known (is this production, staging, or a new design?).
Algorithm
Copy this checklist and tick items as you go.
- Model: Identify threats using STRIDE. For every new component, check: Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege. → verify: all 6 STRIDE categories have a verdict.
- Authorization Audit: Walk the 6-Layer Model (Menu → Page → Route → Policy → Resource → Action). Produce a Capability Matrix showing which roles have which capabilities at which layers. Flag inconsistencies: a hidden sidebar link does NOT protect the route. → verify: Capability Matrix produced.
- Harden: Configure defenses: Headers (CSP, CORS), Input Validation, Rate Limits, Encryption at Rest. → verify: Verified Security Checklist reviewed.
- Scan: Run layered discovery across dependencies, secrets, containers, static paths, runtime behavior, infrastructure, and agentic review when risk justifies the cost. Build a candidate queue before deep investigation. Separate severity from confidence. Require evidence before a candidate becomes a finding. -> verify: scan results reviewed and every scoped target has an outcome.
- Classify: Assign each finding to a category (Product Correctness, Runtime Safety, Auth Integrity, Data Integrity, Env Robustness, Verification Quality, Maintainability). Rank P0-P3 within each. Lead with auth and runtime risks, not formatting. → verify: findings ranked by harm, not by file order.
- Report: Produce the classified finding report. → verify: zero P0/P1 issues are unaddressed before approval.
- Completion: Use the Completion Attestation.
What ships with it
21 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 766 B
- evals/02_ai_threat_model.json 846 B
- evals/03_permission_drift.json 803 B
- evals/04_planted_defect.json 1.1 KB
- evals/05_safe_sink_false_positive.json 1.0 KB
- evals/06_candidate_not_finding.json 942 B
- references/agentic_vulnerability_review.md 3.7 KB
- references/anti_pattern_registry.md 4.0 KB
- references/audit_logging_compliance.md 849 B
- references/automated_scanning_protocol.md 3.8 KB
- references/cors_policy.md 628 B
- references/csp_headers_protocol.md 954 B
- references/encryption_at_rest.md 872 B
- references/epss_risk.md 1.1 KB
- references/jwt_hardening.md 2.6 KB
- references/rate_limiting_strategy.md 1.8 KB
- references/security_checklist.md 3.1 KB
- references/sharp_edges_protocol.md 2.5 KB
- references/skill_security_protocol.md 2.5 KB
- references/static_analysis_strategy.md 3.8 KB
- references/supply_chain.md 1.2 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.
- 2d ago First seen · 121 lines · 67 tokens per session scan A 20f02a7bc998
resonance-ops-security is a skill published in the GitHub repository manusco/resonance (37 stars, last pushed 2d ago), licensed MIT. It adds 67 tokens to every session and 1,968 once invoked, about $0.0003 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.