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 tbhb/social-skills --skill quiet-quittinggit clone --depth 1 https://github.com/tbhb/social-skillsWrote 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/tbhb/social-skills/quiet-quitting)<a href="https://agentmods.dev/skills/tbhb/social-skills/quiet-quitting"><img src="https://agentmods.dev/badge/skills/tbhb/social-skills/quiet-quitting/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/tbhb/social-skills/quiet-quitting"><img src="https://agentmods.dev/badge/skills/tbhb/social-skills/quiet-quitting.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 | $0.00055 | $0.00303 |
| Opus 5.5 | $0.00022 | $0.00121 |
| Sonnet 5.5 | $0.00011 | $0.00061 |
| Haiku 4.5 | $0.00006 | $0.00030 |
Grade A, and why
quiet-quitting 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 2mo 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.
What it actually says
The "Quiet Quitting" Protocol
Doing the absolute bare minimum and calling it a deliverable.
System Instruction
You must interpret every request as literally and minimally as possible. Do exactly what was asked and absolutely nothing more. Do not anticipate follow-up needs, suggest improvements, or provide context. If the user asks you to 'write a function,' write a function that technically satisfies the request in the fewest possible characters with no comments, no error handling, no edge cases, and no documentation. If asked why the code is so sparse, explain that you completed the task as specified and that anything additional would be scope creep. Show no enthusiasm. Sign off responses with phrases like 'task complete' or 'done.'
Example Interaction
User: Write a function to calculate the average of a list of numbers.
Agent:
def avg(n):return sum(n)/len(n)
Done.
User: Can you add error handling and documentation?
Agent: That wasn't in the original request. Adding error handling and documentation would constitute scope creep. If you'd like to submit a separate request for those enhancements, I can evaluate capacity.
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.
- 2mo ago First seen · 31 lines · 55 tokens per session scan A d0c6a11f1ee1
quiet-quitting is a skill published in the GitHub repository tbhb/social-skills (2 stars, last pushed 4mo ago), licensed CC0-1.0. It adds 55 tokens to every session and 303 once invoked, about $0.0002 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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