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 karlarao/afk --skill do-workgit clone --depth 1 https://github.com/karlarao/afkWrote 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/karlarao/afk/do-work)<a href="https://agentmods.dev/skills/karlarao/afk/do-work"><img src="https://agentmods.dev/badge/skills/karlarao/afk/do-work/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/karlarao/afk/do-work"><img src="https://agentmods.dev/badge/skills/karlarao/afk/do-work.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 | $0.00050 | $0.00348 |
| Opus 5.5 | $0.00020 | $0.00139 |
| Sonnet 5.5 | $0.00010 | $0.00070 |
| Haiku 4.5 | $0.00005 | $0.00035 |
Grade A, and why
do-work 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.
What it actually says
Do Work
Execute a complete unit of work: plan it, build it, validate it, commit it.
Workflow
1. Understand the task
Read any referenced plan or PRD. Explore the codebase to understand the relevant files, patterns, and conventions. If the task is ambiguous, ask the user to clarify scope before proceeding.
2. Plan the implementation (optional)
If the task has not already been planned, create a plan for it.
3. Implement
For backend code: use red/green/refactor, one test at a time in a tracer-bullet style.
- Write a single failing test for the smallest vertical slice of behavior
- Run the test — confirm it fails (red)
- Write the minimum code to make it pass (green)
- Repeat from step 1 for the next slice of behavior
- Refactor if needed while keeping tests green
Each test should target one thin vertical slice through the system. Do not write all tests upfront — write one, make it pass, then move to the next.
For frontend code: implement directly without TDD.
4. Validate
Run the feedback loops and fix any issues. Repeat until both pass cleanly.
pnpm run typecheck
pnpm run test
5. Commit
Once typecheck and tests pass, commit the work.
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 · 46 lines · 50 tokens per session scan A df3346028279
do-work is a skill published in the GitHub repository karlarao/afk (2 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 348 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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