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/dailybothq/deepworkplan-skill/fix-frontmatternpx skills add DailybotHQ/deepworkplan-skill --skill fix-frontmattergit clone --depth 1 https://github.com/DailybotHQ/deepworkplan-skillWrote 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/skills/dailybothq/deepworkplan-skill/fix-frontmatter)<a href="https://agentmods.dev/skills/dailybothq/deepworkplan-skill/fix-frontmatter"><img src="https://agentmods.dev/badge/skills/dailybothq/deepworkplan-skill/fix-frontmatter.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 | $0.00034 | $0.00372 |
| Opus 5 | $0.00017 | $0.00186 |
| Sonnet 5 | $0.00007 | $0.00074 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
fix-frontmatter 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 3d 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
Fix Frontmatter
Goal
Bring every SKILL.md under skills/ back into conformance with the frontmatter
contract that CI enforces, so scripts/validate-frontmatter.py passes.
When to use
After adding or editing any SKILL.md, or when CI's "SKILL.md frontmatter
validation" job fails.
Steps
- Run
python3 scripts/validate-frontmatter.pyand read every reported issue. - For each flagged file, fix the frontmatter:
name:→ kebab-case, starts withdeepworkplan(e.g.deepworkplan-create)version:→ quoted SemVer ("2.8.0")- replace
homepage:withdocumentation_url: - ensure
---delimiters and the required keys exist
- Re-run the validator until it prints
OK: all N SKILL.md file(s) validated.
Validation
python3 scripts/validate-frontmatter.py exits 0.
Notes
Never edit a version: number to make the check pass — fix only quoting or
format. The auto-release.yml bot owns version numbers (AGENTS.md §4). The
validator scans skills/ only; .agents/skills/* is not CI-gated but follows
the same style.
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.
- 3d ago First seen · 42 lines · 34 tokens per session scan A 102ad19accae
fix-frontmatter is a skill published in the GitHub repository DailybotHQ/deepworkplan-skill (20 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 372 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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