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 firelock-ai/kin --skill kin-retrievalgit 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/skills/firelock-ai/kin/kin-retrieval)<a href="https://agentmods.dev/skills/firelock-ai/kin/kin-retrieval"><img src="https://agentmods.dev/badge/skills/firelock-ai/kin/kin-retrieval.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00063 | $0.00937 |
| Opus 5 | $0.00032 | $0.00468 |
| Sonnet 5 | $0.00013 | $0.00187 |
| Haiku 4.5 | $0.00006 | $0.00094 |
Grade A, and why
kin-retrieval 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 8d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reading a repository through the Kin graph
Kin parses a repository into entities, relationships, changes, and provenance, and answers questions from that graph. Where grep matches strings and a file read spends context on lines you did not need, these tools return the declaration, its neighborhood, and the graph state that produced the answer.
Reach for the graph first. Fall back to grep only for things the graph does not model: prose in comments, generated files, and text inside languages Kin does not parse.
Pick the tool by what you know
You know the name. Use semantic_search. It matches parsed declarations by name, kind,
and language, so it returns functions, classes, structs, traits, enums, interfaces, types,
and constants rather than every line that mentions the word. Each hit carries its file
path, line range, signature, and a stable entity id. Despite the name it does not rank by
vector similarity, so treat it as the fast exact-ish lookup.
You only know the behavior. Use semantic_locate. It ranks code against a
natural-language query using the vector index, which is the retrieval that powers
kin locate. Set granularity to entity for declarations or file for files. It needs
the running daemon and an embedded graph, and it reports its coverage in the response.
You have an entity and need to understand it. Use get_context_pack. It bundles the
target with its caller and import neighborhood into one prompt-sized payload, which
replaces a chain of separate reads. get_entity_source returns just the implementation
body when the pack is more than you need.
You need callers. Use find_references for everything that imports, calls, or references
a symbol. Use graph_neighborhood when you want the dependency structure around an
entity, with direction of out for what it depends on, in for what depends on it, and
both for the merged view.
You need the path a value travels. Use trace_data_flow. It walks the call and data-flow
chain from a focal entity and returns it as an ordered list of steps.
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.
- 8d ago First seen · 75 lines · 63 tokens per session scan A ea67201f0996
kin-retrieval is a skill published in the GitHub repository firelock-ai/kin (47 stars, last pushed today), licensed Apache-2.0. It adds 63 tokens to every session and 937 once invoked, about $0.0003 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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