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 skills/michael-denyer/pstack-claude/deslopnpx skills add michael-denyer/pstack-claude --skill deslopgit clone --depth 1 https://github.com/michael-denyer/pstack-claudeWrote 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/michael-denyer/pstack-claude/deslop)<a href="https://agentmods.dev/skills/michael-denyer/pstack-claude/deslop"><img src="https://agentmods.dev/badge/skills/michael-denyer/pstack-claude/deslop.svg" alt="Measured on agentmods" 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 | $0.00014 | $0.00162 |
| Opus 5 | $0.00007 | $0.00081 |
| Sonnet 5 | $0.00003 | $0.00032 |
| Haiku 4.5 | $0.00001 | $0.00016 |
Grade A, and why
deslop 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 6d 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.
This is a copy
84% identical to deslop — 21 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Remove AI code slop
Check the diff against main and remove AI-generated slop introduced in the branch.
Focus Areas
- Extra comments that are unnecessary or inconsistent with local style
- Defensive checks or try/catch blocks that are abnormal for trusted code paths
- Casts to
anyused only to bypass type issues - Deeply nested code that should be simplified with early returns
- Other patterns inconsistent with the file and surrounding codebase
Guardrails
- Keep behavior unchanged unless fixing a clear bug.
- Prefer minimal, focused edits over broad rewrites.
- Keep the final summary concise (1-3 sentences).
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.
- 6d ago First seen · 24 lines · 14 tokens per session scan A a6e7d7b94d18
deslop is a skill published in the GitHub repository michael-denyer/pstack-claude (208 stars, last pushed 3d ago), licensed MIT. It adds 14 tokens to every session and 162 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to deslop, differing in 21 lines, and is treated as a copy.
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