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.
git 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/commands/scienceisneato/slop-mop/sm-barnacle)<a href="https://agentmods.dev/commands/scienceisneato/slop-mop/sm-barnacle"><img src="https://agentmods.dev/badge/commands/scienceisneato/slop-mop/sm-barnacle/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/commands/scienceisneato/slop-mop/sm-barnacle"><img src="https://agentmods.dev/badge/commands/scienceisneato/slop-mop/sm-barnacle.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 | $0.00000 | $0.00277 |
| Opus 5 | $0.00000 | $0.00138 |
| Sonnet 5 | $0.00000 | $0.00055 |
| Haiku 4.5 | $0.00000 | $0.00028 |
Grade A, and why
sm-barnacle 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.
What it actually says
/sm-barnacle — report slop-mop tool friction
Use when sm itself gives invalid guidance, blocks valid work, produces
confusing output, or breaks install/upgrade/refit flow. Do not use this for
real target-repo failures; fix those through the normal rail.
sm barnacle file \
--title "short summary of the slop-mop friction" \
--command "sm <verb> [flags]" \
--expected "what should have happened" \
--actual "what happened instead" \
--repro-step "how to reproduce it" \
--tried "what you already tried" \
--workflow swab \
--blocker-type blocking \
--json
Use --dry-run when GitHub auth is unavailable. The generated issue body is
written to .slopmop/last_barnacle_issue.md; pass --body-file <path> when a
specific retry artifact path matters.
The point is to improve the rail, not hide the defect. File the barnacle, then continue only if the friction is non-blocking.
Prerequisite: sm must be installed. If command not found, suggest:
pipx install slopmop[all]
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 · 31 lines · 0 tokens per session scan A da0145960f32
sm-barnacle is a command published in the GitHub repository ScienceIsNeato/slop-mop (6 stars, last pushed 19d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 277 tokens. 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 commands, from other repositories
strip
This is the task-based stripper, not the always-on prior: a deliberate cleanup pass you asked for. Apply the fp-minify doctrine to the target and remove or compress comments that don't earn their place.
conjure-config
Set, view, or remove conjure preferences. Asks questions to understand what you want, then writes plain-language instructions that conjure commands follow automatically.
patrol-status
Show patrol dashboard — mode, tier, health, verification, config.
patrol-help
List all Patrol commands, skills, and config options.
patrol-keywords
Manage custom trigger keywords — list, add, remove, or reset.
patrol-config
Show or edit patrol configuration.