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 ScienceIsNeato/slop-mop --skill slopmopgit clone --depth 1 https://github.com/ScienceIsNeato/slop-mopWrote 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/scienceisneato/slop-mop/slopmop)<a href="https://agentmods.dev/skills/scienceisneato/slop-mop/slopmop"><img src="https://agentmods.dev/badge/skills/scienceisneato/slop-mop/slopmop/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/scienceisneato/slop-mop/slopmop"><img src="https://agentmods.dev/badge/skills/scienceisneato/slop-mop/slopmop.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 | $0.00186 | $0.01598 |
| Opus 5 | $0.00093 | $0.00799 |
| Sonnet 5 | $0.00037 | $0.00320 |
| Haiku 4.5 | $0.00019 | $0.00160 |
Grade A, and why
slopmop 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slop-mop skill
Filing slop-mop friction? Use
/sm-barnacleorsm barnacle file— nevergh issue createdirectly. The barnacle CLI auto-applies the correct labels and targets the right repo regardless of where you are.
Slop-mop (sm) has two primary modes: refit (one-time onboarding) and maintenance (steady-state development). Refit remediates all existing slop and installs permanent guards; the swab/scour/buff loop then keeps the repo clean as you work.
Setting up slop-mop in a repo (the install handoff)
When the user says "install slop-mop", "set up slop-mop in this repo", or
similar, do not improvise ad-hoc setup. It is an ordered handoff — each
step is a real CLI surface (sm -h lists them). Run them in order, skipping
any that are already done:
- CLI present? If
smis "command not found", install the utility:pipx install slopmop[all]. - Repo-local agent instructions? Install them so every agent in this repo
follows the rails:
sm agent install(add--target copilot|cursor|claudeas needed). - Config? If there's no
.sb_config.json, generate one tuned to the detected stack:sm init --non-interactive. - Onboard the existing code:
sm refit --start→sm refit --iterate→sm refit --finish, then enter the maintenance loop.
"Install slop-mop in the repo" means all of the above, not just step 1. If you
are unsure which steps remain, sm sail reads the repo state and tells you the
next move.
When to use
- Initial setup (step -1): Run
sm init --non-interactivewhen the repo hassminstalled but no.sb_config.json. This generates a config tuned to the detected stack. Run it before refit or the maintenance loop. - Default action: Run
sm sailwhen you're not sure what's next — it reads workflow state and does the right thing. - Refit (step 0): Run
sm refit --startto generate a remediation plan, thensm refit --iterateuntil complete, thensm refit --finishto enter maintenance. - During implementation: Run
sm swabafter every meaningful code change. Keep running until clean. - Before PR: Run
sm scourfor a comprehensive sweep. - After CI/review: Run
sm buff <PR_NUMBER>to convert feedback into next steps. - Loop exhausted (last resort): Run
sm wake-angry-drunk-captainonly when barnacles are filed, gates are green or truly unfixable, and the one move left is a human judgment call no verb can make. It demands structured proof, then ends your turn and hands you the captain's question to relay to the human. See below.
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.
- 9d ago First seen · 113 lines · 186 tokens per session scan A 64907a56a144
slopmop is a skill published in the GitHub repository ScienceIsNeato/slop-mop (6 stars, last pushed 19d ago), licensed Apache-2.0. It adds 186 tokens to every session and 1,598 once invoked, about $0.0009 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 skills, from other repositories
root-cause-first
A debugging discipline that requires finding the underlying cause of a bug before changing the code. It also sets rules for handling errors, fallbacks, retries, and temporary diagnostics.
dead-code
Identify unused code (functions, imports, exports, variables, types, classes) and propose cleanup. Use this skill when the user says "find dead code", "unused code", "clean up unused", "code hygiene", "find unused imports", "what can I delete", or any variation of wanting to identify and remove code that is no longer…
question
Answer a question about how things are right now — this codebase, its history, its behavior, a library, an error. Investigates and answers with evidence. Changes nothing, ever.
diagnose
Use when investigating a bug or unexpected behavior. Forces structured root-cause investigation before any code changes. Trace the call chain, document hypotheses, confirm the root cause, then fix.
trace-fix
Use when fixing a bug, unexpected behavior, or test failure. Investigation-first TDD loop that traces root cause before touching code.
recipe-diagnose
Investigate problem, verify findings, and derive solutions.