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 instructions/firelock-ai/kin/gemini-mdgit clone --depth 1 https://github.com/firelock-ai/kinWrote 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/instructions/firelock-ai/kin/gemini-md)<a href="https://agentmods.dev/instructions/firelock-ai/kin/gemini-md"><img src="https://agentmods.dev/badge/instructions/firelock-ai/kin/gemini-md.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 | $0.00695 | $0.00695 |
| Opus 5 | $0.00347 | $0.00347 |
| Sonnet 5 | $0.00139 | $0.00139 |
| Haiku 4.5 | $0.00069 | $0.00069 |
Grade A, and why
kin GEMINI.md 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kin: read the repository from the graph
Kin parses a repository into entities, relationships, changes, and provenance, and answers from that graph. Prefer these tools over grep and whole-file reads. Fall back to raw search only for what the graph does not model, such as prose in comments and unparsed file types.
Pick the tool by what you know
- You know the symbol name.
semantic_searchmatches parsed declarations by name, kind, and language, and returns each hit's path, line range, signature, and entity id. It is a metadata matcher, not a vector ranker. - You only know the behavior.
semantic_locateranks code against a natural-language query using the vector index. It needs the running daemon and an embedded graph, and it reports its own coverage. - You need to understand an entity.
get_context_packbundles it with its caller and import neighborhood.get_entity_sourcereturns just the body. - You need callers.
find_referencesreturns everything that imports, calls, or references a symbol.graph_neighborhoodwalks the dependency structure, withdirectionofout,in, orboth. - You need the path a value travels.
trace_data_flowreturns the ordered call and data-flow chain from a focal entity. - You are changing shared code.
impact_analysiswalks the relation graph to the downstream entities the change can reach. - You need history.
kin_provenance_queryreports an entity's changes, its latest change, and recorded approvals. - You need repository contents.
kin_artifact_listandkin_artifact_readcover every tracked object by artifact id, including lockfiles, configuration, and binary assets.
Trust the envelope, not the emptiness
Every response carries a _kin envelope naming the runtime that answered, the graph
generation, embedding coverage, and any degraded flags. A semantic answer is never quietly
backfilled from raw file search.
An empty result carries a negative object whose safe_to_conclude_absent field says
whether the absence can be trusted. Semantic tools report semantic_authoritative only
under complete embedding coverage with no degraded signals. Structural tools report
structural_authoritative only with the graph initialized and loaded. Any other verdict
means ask again when the graph is ready, not that the thing is missing.
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.
- 4d ago First seen · 53 lines · 695 tokens per session scan A 849ee2005d4f
kin GEMINI.md is an instructions file published in the GitHub repository firelock-ai/kin (47 stars, last pushed today), licensed Apache-2.0. It adds 695 tokens to every session, about $0.0035 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.
Other instructions, from other repositories
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turso AGENTS.md
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intelligent-terminal rust.instructions.md
Concise Rust coding conventions for this repository.