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 commands/runkids/skillshare/auditgit clone --depth 1 https://github.com/runkids/skillshareWhat 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 | $0.00000 | $0.04189 |
| Opus 5 | $0.00000 | $0.02094 |
| Sonnet 5 | $0.00000 | $0.00838 |
| Haiku 4.5 | $0.00000 | $0.00419 |
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 yesterday.
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 — 387 lines — stays where its author put it; the contents beside it link to each section on GitHub.
audit
Scan installed skills for security threats and malicious patterns.
skillshare audit # Scan all installed skills
skillshare audit <name> # Scan a specific installed skill
skillshare audit a b c # Scan multiple skills
skillshare audit --group frontend # Scan all skills in a group
skillshare audit <path> # Scan a file/directory path
skillshare audit --threshold high # Block on HIGH+ findings
skillshare audit -T h # Same as --threshold high
skillshare audit --format json # JSON output
skillshare audit --format sarif # SARIF 2.1.0 output (GitHub Code Scanning)
skillshare audit --format markdown # Markdown report (for GitHub Issues/PRs)
skillshare audit --json # Same as --format json (deprecated)
skillshare audit -p # Scan project skills
skillshare audit --quiet # Only show skills with findings
skillshare audit --yes # Skip large-scan confirmation
skillshare audit --no-tui # Plain text output (no interactive TUI)
skillshare audit --profile strict # Use strict profile (block on HIGH+)
skillshare audit --dedupe global # Full composite-key deduplication
skillshare audit --analyzer static # Run only the static analyzer
skillshare audit --analyzer static --analyzer dataflow # Multiple analyzers
When to Use
- Review security findings after installing a new skill
- Scan all skills for prompt injection, data exfiltration, or credential access patterns
- Customize audit rules for your organization's security policy
- Generate audit reports for compliance (
--format json), static analysis tools (--format sarif), or documentation (--format markdown) - Integrate into CI/CD pipelines to gate skill deployments
- Upload SARIF results to GitHub Code Scanning for PR-level annotations
What It Detects
The audit engine scans every text-based file in a skill directory against 100+ built-in rules (regex patterns, table-driven credential detection, structural checks, content integrity verification, and supply-chain trust analysis), organized into 5 severity levels: CRITICAL, HIGH, MEDIUM, LOW, and INFO.
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.
- yesterday First seen · 387 lines · 0 tokens per session scan A 20392df144d6
audit is a command published in the GitHub repository runkids/skillshare (2,597 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,189 tokens. 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 commands, from other repositories
constraints
Define and enforce this project's quality bar — interview, sane defaults, CONSTRAINTS.md.
webperf
Run a web performance audit via the web-performance-auditor persona.
spec
Start spec-driven development — write a structured specification before writing code.
plan
Break work into small verifiable tasks with acceptance criteria and dependency ordering.
pm-arch
Scan project structure and generate Mermaid architecture diagrams + flowcharts under .pm/architecture/.
pm-done
Close a todo (TODO-xxx), sync completed.md, refresh overview.