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 nortonx/ai-tooling-free --skill deslopgit clone --depth 1 https://github.com/nortonx/ai-tooling-freeWrote 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/nortonx/ai-tooling-free/deslop)<a href="https://agentmods.dev/skills/nortonx/ai-tooling-free/deslop"><img src="https://agentmods.dev/badge/skills/nortonx/ai-tooling-free/deslop/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/nortonx/ai-tooling-free/deslop"><img src="https://agentmods.dev/badge/skills/nortonx/ai-tooling-free/deslop.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 | $0.00042 | $0.00303 |
| Opus 5.5 | $0.00017 | $0.00121 |
| Sonnet 5.5 | $0.00008 | $0.00061 |
| Haiku 4.5 | $0.00004 | $0.00030 |
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 7d 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
Remove AI Code Slop
Check the diff against main and remove all AI-generated slop introduced in this branch.
Scope: source code only. For prose (reports, docs, specs, ADRs, PR descriptions) use deslop-prose. Nothing below applies to a Markdown document, so running this skill on one does almost nothing.
What to Remove
- Extra comments that a human wouldn't add or are inconsistent with the rest of the file
- Extra defensive checks or try/catch blocks that are abnormal for that area of the codebase (especially if called by trusted/validated codepaths)
- Casts to
anyto get around type issues - Inline imports in Python (move to top of file with other imports)
- Any other style that is inconsistent with the file
Process
- Get the branch diff:
git diff <base>...HEAD, with<base>fromgit symbolic-ref --short refs/remotes/origin/HEAD, elseorigin/main, elseorigin/master. If none resolves, ask. - Review each changed file for slop patterns
- Remove identified slop while preserving legitimate changes
- Report a 1-3 sentence summary of what was changed
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.
- 7d ago First seen · 26 lines · 42 tokens per session scan A 4fa97916723a
deslop is a skill published in the GitHub repository nortonx/ai-tooling-free (1 stars, last pushed 8d ago), licensed MIT. It adds 42 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 2026-10-10.
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