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 skills add grasscaograss/AwesomeWeldoneSkills --skill grill-with-docsgit clone --depth 1 https://github.com/grasscaograss/AwesomeWeldoneSkillsWrote 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/grasscaograss/awesomeweldoneskills/grill-with-docs)<a href="https://agentmods.dev/skills/grasscaograss/awesomeweldoneskills/grill-with-docs"><img src="https://agentmods.dev/badge/skills/grasscaograss/awesomeweldoneskills/grill-with-docs/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/skills/grasscaograss/awesomeweldoneskills/grill-with-docs"><img src="https://agentmods.dev/badge/skills/grasscaograss/awesomeweldoneskills/grill-with-docs.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 | $0.00030 | $0.00334 |
| Opus 5.5 | $0.00012 | $0.00134 |
| Sonnet 5.5 | $0.00006 | $0.00067 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
grill-with-docs 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
Run a /grilling session, using the /domain-modeling skill.
This repo's knowledge base
This project keeps its domain language in an archive/ knowledge base, not a bare root CONTEXT.md. /domain-modeling is already wired to write here:
- Glossary →
archive/CONTEXT.md(terminology only — no implementation details) - Decisions →
docs/adr/ - Session records →
archive/records/, domain knowledge →archive/knowledge/(indexed byarchive/INDEX.md)
After the session
Once the plan is settled and code is written, fold the results back into the archive:
/archive-session— archive this session as a dated record underarchive/records//archive— query past decisions and domain knowledge before a new session/archive-import— bring external reference docs into the archive/knowledge-reorgand/periodic-review— keep the archive healthy over time
/grill-with-docs → coding → /archive-session → /periodic-review
↓ ↓ ↓
archive/CONTEXT.md /archive-import /knowledge-reorg
docs/adr/ (import external docs) (restructure knowledge)
↓
/archive (query)
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 · 34 lines · 30 tokens per session scan A ce5f265a8b18
grill-with-docs is a skill published in the GitHub repository grasscaograss/AwesomeWeldoneSkills (2 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 334 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 2026-08-31.
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