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/dixus/claudeframework/auditnpx skills add dixus/claudeframework --skill auditgit clone --depth 1 https://github.com/dixus/claudeframeworkWhat 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 | $0.00022 | $0.00425 |
| Opus 5 | $0.00011 | $0.00212 |
| Sonnet 5 | $0.00004 | $0.00085 |
| Haiku 4.5 | $0.00002 | $0.00042 |
Grade A, and why
audit 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.
What it actually says
Check for and fix vulnerable dependencies.
Steps:
- Secret scan (runs before dependency audit):
- Check if
gitleaksis available:which gitleaks || gitleaks version - If available, run:
gitleaks detect --verbose --redact - Report any findings as CRITICAL severity — committed secrets must be rotated
- If gitleaks not installed, note "gitleaks not available — secret scan skipped" and continue
- Check if
- Detect the package manager by looking for lockfiles in the project root:
package-lock.jsonornpm-shrinkwrap.json→ npmyarn.lock→ yarnpnpm-lock.yaml→ pnpmbun.lockb→ bunPipfile.lockorpoetry.lock→ Python (pip-audit / poetry)Cargo.lock→ Rust (cargo audit)go.sum→ Go (govulncheck)- If multiple exist, read CLAUDE.md to determine which is authoritative
- Run the appropriate audit command for the detected package manager
- Apply safe/non-breaking fixes using the package manager's fix command (e.g.
npm audit fix,poetry update,cargo update) - Do not apply breaking changes (e.g.
npm audit fix --force) without explicit user approval — report them instead - Read CLAUDE.md to discover the project's test command, then run it to verify the updates did not break anything
- Report:
- Which vulnerabilities were found
- Which were fixed automatically
- Which remain and why (e.g. require a breaking change or have no fix available)
- Final test status
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 · 35 lines · 22 tokens per session scan A e9bda5bf0a62
audit is a skill published in the GitHub repository dixus/claudeframework (10 stars, last pushed 4mo ago), licensed MIT. It adds 22 tokens to every session and 425 once invoked, about $0.0001 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
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.