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/workingclass-ai/workingclass/agents-mdgit clone --depth 1 https://github.com/workingclass-ai/workingclassWhat 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 | $0.00421 | $0.00421 |
| Opus 5 | $0.00211 | $0.00211 |
| Sonnet 5 | $0.00084 | $0.00084 |
| Haiku 4.5 | $0.00042 | $0.00042 |
Grade A, and why
workingclass AGENTS.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 2d 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 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.
- 2d ago First seen · 27 lines · 421 tokens per session scan A 0812be815b6b
workingclass AGENTS.md is an instructions file published in the GitHub repository workingclass-ai/workingclass (9 stars, last pushed 1mo ago), with no licence file. It adds 421 tokens to every session, about $0.0021 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 2026-08-31.
Other instructions, from other repositories
tw-formal-writing-standalone
台灣正式文件撰寫助手(獨立單檔版本,適用於 ChatGPT / Gemini)— 涵蓋政府公文、政府非公文文件、法律文件、人民對政府文書四類中文正式文件的撰寫(不含學術論文、商業文書、私人書信等,見下方排除清單)。 根據使用者意圖自動判斷文件類別,依照對應的撰寫規範與格式指引產出文件。 本檔案為完整獨立版本,所有規範與參考資料皆內含於此單一檔案中。 觸發此 skill 的情境: - 政府公文:簽、函、書函、公告、令、呈、咨、箋函、便簽、行文、發文、簽辦、擬稿、陳核、簽稿併陳、以稿代簽、先簽後稿、上行文、下行文、平行文 …
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Instructions for mykpono/ultimate-seo-geo, covering ultimate seo + geo — llm-agnostic seo agent, 0. before you start, routing index, when not to run a full audit and audit context: internal vs. competitive.
ultimate-seo-geo copilot-instructions.md
Instructions for mykpono/ultimate-seo-geo, covering ultimate seo + geo — copilot instructions, how to use, key capabilities, quick start and reference files.
ultimate-seo-geo GEMINI.md
Instructions for mykpono/ultimate-seo-geo, covering ultimate seo + geo — gemini cli context, instructions, key commands, install dependencies first and run all individual checks.
tw-formal-writing CLAUDE.md
Instructions for Imbad0202/tw-formal-writing, covering claude.md, 這個 repo 是什麼, 內容架構:單一真實來源 → 多入口, 常用指令 and 改完 references/ 後重新生成 standalone.md 與 skills/(必跑,否則 ci fail).
ilana AGENTS.md
Instructions for Ferousco-dev/ilana, covering agents.md, 1. installing ìlànà, the install, in full, about the ilana command and if symlinks are not possible.