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/getlien/lien/dogfoodnpx skills add getlien/lien --skill dogfoodgit clone --depth 1 https://github.com/getlien/lienWrote 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/getlien/lien/dogfood)<a href="https://agentmods.dev/skills/getlien/lien/dogfood"><img src="https://agentmods.dev/badge/skills/getlien/lien/dogfood.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 | $0.00042 | $0.08902 |
| Opus 5 | $0.00021 | $0.04451 |
| Sonnet 5 | $0.00008 | $0.01780 |
| Haiku 4.5 | $0.00004 | $0.00890 |
Grade A, and why
dogfood 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 today.
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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- today Changed · -51 lines · -3 tokens per session af5f04196bb4
- 3d ago First seen · 747 lines · 45 tokens per session scan A 46123d03c261
dogfood is a skill published in the GitHub repository getlien/lien (2 stars, last pushed today), licensed AGPL-3.0. It adds 42 tokens to every session and 8,902 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 2026-08-31.
Other skills, from other repositories
handoff
Prepare a concise repository-work handoff and write it only after explicit confirmation to the visible repository-root Markdown file MEMENTOHANDOFF.md. Use when the user asks to capture, save, or pass current work to a later session or collaborator; never perform hidden or automatic writes.
prime
Orient to an unfamiliar or resumed repository through bounded reads of repo instructions, root manifests, Git state, and a few high-signal files. Use when the user asks to prime, orient to, understand, or resume work in a repository; do not use for semantic search or background indexing.
review-changes
Review current staged, unstaged, and untracked Git changes for correctness and regression risk, grounded in changed paths, diffs, focused file reads, and nearby test discovery. Use when the user asks to review local changes or a working-tree diff; do not use for broad repository audits.
seller-research
Use when researching a merchant, storefront, marketplace seller, or merchant of record for a buying decision, especially when identity, refund terms, fulfillment, counterfeit risk, domain history, or independent buyer outcomes are uncertain.
mcp-local-rag
Searches, saves, and maintains a local document index through a local RAG MCP server. Use when user says "search my docs", "save this page", "read around that chunk", "sync my index", or invokes npx mcp-local-rag.
lilbee-mcp
Search and manage the user's local lilbee knowledge base over MCP. Use whenever the user has indexed code, docs, PDFs, or web pages into lilbee and you need cited answers, or whenever they ask you to ingest content, swap models, or tune retrieval against their library. Every fact returned cites file and line.…