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/decocms/studio/commitnpx skills add decocms/studio --skill commitgit clone --depth 1 https://github.com/decocms/studioWhat 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 | $0.00045 | $0.00367 |
| Opus 5 | $0.00023 | $0.00183 |
| Sonnet 5 | $0.00009 | $0.00073 |
| Haiku 4.5 | $0.00005 | $0.00037 |
Grade A, and why
commit 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.
What it actually says
I'm getting ready for code review. Please follow these steps:
0. Branch Check
If you're on the main branch, create a new feature branch first before making any commits.
1. Quality Assurance Checks
Run the following commands in order:
- bun run fmt
- bun run lint
- bun run check:ci
- bun run knip
- bun test
If any checks fail, address the issues before proceeding.
2. Create Commits
Split the file changes into logical commits following Conventional Commit format:
type(scope): message(e.g.,feat(chat): add thread deletion,fix(auth): resolve token expiry)- Use types: feat, fix, refactor, docs, chore, test, etc.
Push all commits to the remote branch.
3. Create or Update Pull Request
Use the gh CLI tool to create or update the PR. The PR description MUST follow the structure defined in .github/pull_request_template.md.
Important:
- Read
.github/pull_request_template.mdand follow its structure exactly - Analyze the git diff and commits to generate accurate content for each section
- For "How to Test", provide specific, actionable steps based on the actual changes
- Mark "N/A" for Screenshots and Migration Notes if not applicable
- Ensure the PR title follows Conventional Commit format
4. Report Results
Finally, report the GitHub PR URL.
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 · 41 lines · 45 tokens per session scan A 8700361f43a9
commit is a skill published in the GitHub repository decocms/studio (401 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 367 once invoked, about $0.0002 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.
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