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 commands/f/prompts.chat/skillsgit clone --depth 1 https://github.com/f/prompts.chatWhat 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 | $0.00008 | $0.00453 |
| Opus 5 | $0.00004 | $0.00227 |
| Sonnet 5 | $0.00002 | $0.00091 |
| Haiku 4.5 | $0.00001 | $0.00045 |
Grade A, and why
skills 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 yesterday.
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 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.
- yesterday First seen · 75 lines · 8 tokens per session scan A ed298e1a0ea7
skills is a command published in the GitHub repository f/prompts.chat (168,346 stars, last pushed yesterday), with no licence file. It adds 8 tokens to every session and 453 once invoked, about $0.0000 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 commands, from other repositories
awesome-chatgpt
Search awesome-ChatGPT-repositories for open-source GitHub repositories related to ChatGPT and LLMs.
code-review
Code review — local uncommitted changes or GitHub PR (pass PR number/URL for PR mode).
docs-fe
Generate a concise FE handoff doc for changed endpoints — branch, APIs, request/response contracts, search params, error codes.
coding-level
Set Claude's coding explanation level for this session/project (-1=Default → 5=God Mode).
brainstorm
Explore and debate solutions before writing code — scout codebase, ask clarifying questions, research options, and produce a structured decision report. Ends with → /ck:plan (implement) or /ck:journal (archive). No code is written.
cook
Implement a plan phase by phase. Cook never writes or runs tests; every phase requires an APPROVED ck:quality gate before completion. Modes: --fast or --hard. Flag: --tdd. --json selects the phased master plan.json; --plan selects a Markdown plan.md.