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/rikdc/ai-skills/checkgit clone --depth 1 https://github.com/rikdc/ai-skillsWrote 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/commands/rikdc/ai-skills/check)<a href="https://agentmods.dev/commands/rikdc/ai-skills/check"><img src="https://agentmods.dev/badge/commands/rikdc/ai-skills/check.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 | $0.00010 | $0.00279 |
| Opus 5 | $0.00005 | $0.00139 |
| Sonnet 5 | $0.00002 | $0.00056 |
| Haiku 4.5 | $0.00001 | $0.00028 |
Grade A, and why
check 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.
What it actually says
Code Quality Check & Auto-Fix
Comprehensive analysis and fixing of all code quality issues. This command fixes problems, not just reports them.
Workflow
- Analyze project and identify all issues
- Spawn sub-tasks for independent fixes (linting, formatting, simple tests)
- Handle dependencies sequentially (complex tests, integration issues)
- Verify all fixes work together
- Continue until everything passes
Sub-task Strategy
When I find multiple issues, I'll spawn parallel sub-tasks:
- Separate sub-tasks for different directories/modules
- Parallel execution of independent fixes (formatting, linting, simple tests)
- Sequential handling of dependent changes
- Coordination to prevent conflicts
Success Criteria
- ✅ All linters pass (zero warnings)
- ✅ All tests pass
- ✅ All builds succeed
- ✅ No security vulnerabilities
Execution Promise
I will work systematically through all issues, spawning sub-tasks where beneficial, and continue until every check shows ✅ PASSING.
Example: "Found 20 issues across 8 files. Spawning 3 sub-tasks: formatting fixes, linting violations, and test failures. Coordinating results and verifying integration..."
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 · 42 lines · 10 tokens per session scan A 35610187d77c
check is a command published in the GitHub repository rikdc/ai-skills (2 stars, last pushed 3d ago), licensed MPL-2.0. It adds 10 tokens to every session and 279 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.
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