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 fspecii/openfelix --skill birdgit clone --depth 1 https://github.com/fspecii/openfelixWrote 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/fspecii/openfelix/bird)<a href="https://agentmods.dev/skills/fspecii/openfelix/bird"><img src="https://agentmods.dev/badge/skills/fspecii/openfelix/bird/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/fspecii/openfelix/bird"><img src="https://agentmods.dev/badge/skills/fspecii/openfelix/bird.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 | $0.00025 | $0.00332 |
| Opus 5.5 | $0.00010 | $0.00133 |
| Sonnet 5.5 | $0.00005 | $0.00066 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
bird 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 41 lines · 25 tokens per session scan A bfe82995ae78
bird is a skill published in the GitHub repository fspecii/openfelix (32 stars, last pushed 7mo ago), with no licence file. It adds 25 tokens to every session and 332 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 2026-08-30.
Other skills, from other repositories
localvoxtral-doctor
Use when the user's localvoxtral dictation misbehaves, for example a dictation did not join this session, its text was not inserted, or speech or polish failed. Names the localvoxtral commands that check the setup and read the app's log.
pulse
GTM brain for solo founders launching products. Pulse reads the user's brief (identity, voice, hard rules) AND the configured workspace (README, /doc/, recent commits, source) to know the product as well as the user does. The page drives a three-step pipeline — Gather local (script), Gather web (agent + Fetch tools)…
shared-memory
Durable memory across sessions — a model of who the user is, not a log of what was done. Three-tier store (core + long-term + episodic staging) via the ling-mem daemon. Same semantics in Linggen, Claude Code, Codex, and OpenClaw.
dj
DJ — your personal Disc Jockey. Describe a vibe ("Hong Kong 90s top 50", "rainy-Sunday jazz", "best of Beyond") and DJ builds the set, finds each track, and pulls clean MP3s into your local library, tagged, with lyrics, ready for your phone. Ask it to find or recommend and it proposes; ask it to download and it does …
health
Linggen Health — the health app for people whose job is a computer. Your iPhone reads Apple Health and keeps your body data; this Mac keeps the long memory of it and joins it to how you actually work. Ask what a week did to you, what today should be, or why a number moved, and get an answer in your own numbers with…
lingjing
A chat-based cultivation game set in a world inspired by Chinese heritage. The player talks with the game master, takes tasks, and advances through the story; actions change the game only through its defined commands.