Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/saajunaid/caddis-pluginnpx agentmods add commands/saajunaid/caddis-plugin/sync-skills-readmeWrote 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/saajunaid/caddis-plugin/sync-skills-readme)<a href="https://agentmods.dev/commands/saajunaid/caddis-plugin/sync-skills-readme"><img src="https://agentmods.dev/badge/commands/saajunaid/caddis-plugin/sync-skills-readme/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/commands/saajunaid/caddis-plugin/sync-skills-readme"><img src="https://agentmods.dev/badge/commands/saajunaid/caddis-plugin/sync-skills-readme.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00026 | $0.00282 |
| Opus 5.5 | $0.00010 | $0.00113 |
| Sonnet 5.5 | $0.00005 | $0.00056 |
| Haiku 4.5 | $0.00003 | $0.00028 |
Grade A, and why
sync-skills-readme 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 1mo 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
Sync Skills Registry
Regenerate .github/skills/_registry.md from the actual SKILL.md files under .github/skills/.
Requirements
- Use
.github/tools/pool-sync/generate_registry.pyas the source of truth. - The registry must be generated from
nameanddescriptionfrontmatter in each publicSKILL.md. - Exclude private skills and denylist-exception paths through the manifest loader; do not hardcode a separate private list here.
- Preserve deterministic category ordering and path sorting.
- Do not hand-edit
_registry.md.
Workflow
- Run:
python .github/tools/pool-sync/generate_registry.py
- Verify:
python .github/tools/pool-sync/generate_registry.py --check
python validate_pool.py
- If validation fails because a skill is missing
nameordescription, fix theSKILL.mdfrontmatter and rerun the generator.
Success Criteria
.github/skills/_registry.mdmatches the generated output exactly.- New public skills, including
workflow/golden-nuggets/, appear automatically after regeneration. validate_pool.pypasses.
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.
- 1mo ago First seen · 39 lines · 26 tokens per session scan A 3ac93f89bfa8
sync-skills-readme is a command published in the GitHub repository saajunaid/caddis-plugin (0 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 282 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-09.
Other commands, from other repositories
upstream-watch
Review pydantic-ai and pydantic-ai-harness releases published since the last watch entry, and record a verdict in .github/upstream-watch.md.
swarm-pr
Create and manage AI swarms directly from GitHub Pull Requests, enabling seamless integration with your development workflow.
test-feature
Test a React Native feature on the running simulator/emulator. Verifies UI, user flows, and internal state. Generates a persistent Maestro test file.
prototype
Command dispatcher for prototype.
specify
Command dispatcher for specify.
run-workflow
Validate and establish the proven rn-dev-agent operating sequence before a real React Native journey — declared package manager and dependencies, read-only inventory, typed session recovery, one exclusive device, managed integration and Metro, only the requested proof, reverse-order cleanup.