Borrowing it
Nothing to install: this file belongs to bringfire/rook-release. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/bringfire/rook-release/main/.claude/skills/chirp/SKILL.mdgit clone --depth 1 https://github.com/bringfire/rook-releaseWrote 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/bringfire/rook-release/chirp)<a href="https://agentmods.dev/skills/bringfire/rook-release/chirp"><img src="https://agentmods.dev/badge/skills/bringfire/rook-release/chirp/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/bringfire/rook-release/chirp"><img src="https://agentmods.dev/badge/skills/bringfire/rook-release/chirp.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 | $0.00095 | $0.02292 |
| Opus 5.5 | $0.00038 | $0.00917 |
| Sonnet 5.5 | $0.00019 | $0.00458 |
| Haiku 4.5 | $0.00010 | $0.00229 |
Grade A, and why
chirp 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 26d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chirp — Single Component
Create one Chirp component on the GH canvas with the correct category, pins, signature, and visual treatment. Every component gets a Reasoning output and an optional Correction input automatically.
Categories
| Category | Purpose | DSPy Module | Typical Inputs | Typical Outputs |
|---|---|---|---|---|
| planner | Brief → structured parameters | ChainOfThought | Brief (string) | Domain-specific params (typed) |
| interpreter | Upstream Reasoning → domain-specific parameters | ChainOfThought | Reasoning (string) + context | Domain-specific params (typed) |
| critic | Multiple Reasonings → conflict detection | MultiChainComparison | 2+ Reasoning inputs | Conflicts (string), Score (float), Coherent (bool) |
| narrator | Multiple Reasonings → design narrative | ChainOfThought | 2+ Reasoning inputs | Narrative (string), Summary (string) |
| classifier | Data → categorical decision | Predict | Data + optional Intent (string) | Category (string), Confidence (float) |
| gate | Reasoning → rule activations | Predict | Reasoning (string) | Boolean/enum flags |
| editor | Reasoning + Correction → reconciled Reasoning | ChainOfThought | Reasoning (string) + Correction (string) | Reasoning only (reconciled) |
Universal Pins (auto-added to ALL categories)
Outputs:
Reasoning(string) — LLM chain-of-thought. Always present. Reserved name.
Inputs:
Correction(string, optional) — Human override. When empty, no effect. When connected to a Panel with text, the LLM prioritizes it over upstream assumptions and explains the reconciliation in its Reasoning output.Freeze(bool, optional) — When true, the component replays its frozen result and never calls the model; with no frozen result it uses deterministic defaults and warns. Default false.Frozen(string, optional) — The frozen store: one entry per list item (the last successful model response for that item), written by the component itself into this pin's persistent data so it is saved in the.ghfile and travels with it. Leave it unconnected; wire a Panel only to supply a store by hand.
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.
- 26d ago Changed · +37 lines 84c569533da9
- 1mo ago First seen · 148 lines · 95 tokens per session scan A a77a808438fd
chirp is a skill published in the GitHub repository bringfire/rook-release (6 stars, last pushed yesterday), licensed MIT. It adds 95 tokens to every session and 2,292 once invoked, about $0.0004 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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