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/localplugins/pluginsWrote 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/localplugins/plugins/clean)<a href="https://agentmods.dev/commands/localplugins/plugins/clean"><img src="https://agentmods.dev/badge/commands/localplugins/plugins/clean/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/localplugins/plugins/clean"><img src="https://agentmods.dev/badge/commands/localplugins/plugins/clean.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 | $0.00017 | $0.00184 |
| Opus 5.5 | $0.00007 | $0.00074 |
| Sonnet 5.5 | $0.00003 | $0.00037 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
clean 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
Clean
Produce one tidy dataset from raw exports. Arguments: $ARGUMENTS
Workflow
- Parse each input with the toolkit's
parse_report(map columns viastatement-parsing); dates and amounts are normalized throughDecimal. - Categorize with the rules in
money/categories.json. - Write a single
categorized.csvtomoney/output/<name>/with consistent columns (date, description, amount, category, account, source-file). - Collect
.skippedfrom every input — rows that couldn't be parsed (malformed amount/date) or were ambiguous (both debit and credit populated). List them for the user to fix — never drop or fabricate them silently.
Never access the network.
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 · 17 lines · 17 tokens per session scan A 8a4581e2fb50
clean is a command published in the GitHub repository localplugins/plugins (5 stars, last pushed 3mo ago), licensed MIT. It adds 17 tokens to every session and 184 once invoked, about $0.0001 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.
Other commands, from other repositories
document-app
Reverse-engineer an AI-built codebase into the system documents reviewers and auditors need — a core set (architecture, flows, permissions, variables) plus conditional docs (emails, cron, SEO, automation) when they apply. check mode writes nothing and reports where the existing docs and the code disagree.
xlsx-financials
../../vertical-plugins/models-and-pitches/commands/xlsx-financials.md.
csv-to-numbers
Convert a CSV into a formatted Numbers workbook.
sheet-report
Analyze a Numbers or Excel file and generate a report with charts.
excel-to-numbers
Convert an Excel workbook to Numbers.
budget
Grant budget spreadsheet generation with forcing questions and task integration.