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/melodic-software/claude-code-plugins/cleannpx skills add melodic-software/claude-code-plugins --skill cleangit clone --depth 1 https://github.com/melodic-software/claude-code-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/skills/melodic-software/claude-code-plugins/clean)<a href="https://agentmods.dev/skills/melodic-software/claude-code-plugins/clean"><img src="https://agentmods.dev/badge/skills/melodic-software/claude-code-plugins/clean.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 | $0.00126 | $0.06425 |
| Opus 5 | $0.00063 | $0.03213 |
| Sonnet 5 | $0.00025 | $0.01285 |
| Haiku 4.5 | $0.00013 | $0.00643 |
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 yesterday.
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 — 393 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Disk hygiene
Audit first; mutate only after a fresh deterministic preview and explicit approval of one tier. A filename pattern is a discovery hint, never proof that an entry is junk. Safe tidiness is the primary objective; reclaimed bytes are secondary. Read the safety model before the optional execution lane.
Arguments and boundaries
Parse $ARGUMENTS as the complete user-facing surface: optional --execute, optional
--policy <file>, optional --max-depth <N>, optional --confirmed-large-scan, optional
--root-children with zero or more --root-child <name>, and one target directory. Remaining
engine flags (--output, --project-dir, --data-root on scan; --snapshot, --plan,
--report, --confirm-tier, --approval-token, --paths, and --vcs-evidence on the other
subcommands) are supplied by this skill's command templates, not typed by the user.
--execute means "deletion may be offered" on every platform, the gated engine lane where the
platform supports it, the manual handoff elsewhere; it is not approval. (Deliberate semantic
unification, not a restatement: the flag previously read as engine-lane-only, which left the
manual lane's gate ambiguous, consumer sessions read it both ways.) --max-depth <N> bounds a
scan to depth N (preferred for large targets); --confirmed-large-scan opts into an unbounded
full walk after the human clears the confirmation gate's scan-scope row.
--root-children is the only way to address an OS-managed volume root (for example C:\ or /):
it never walks that root recursively. Without --root-child names the engine returns
root-children-selection-required listing admitted immediate directories (OS-owned, hidden,
system, reparse, mount, protected-shell-folder, and non-directory entries are withheld). With one
or more explicit --root-child <name> flags, after the human clears the confirmation gate's
root-children row, it audits only those admitted children into one snapshot. A general "clean
everything" is not selection. With no target, ask once. Reject an
OS-managed root (unless --root-children), a non-root mount target, a protected shell-folder root
or descendant, a missing directory, a symlink, or a Windows reparse point. A whole-volume root that
is not OS-managed (a Windows Dev Drive) is no longer rejected outright, it is a valid target, but
as a known-large root it is gated like a home target (see step 1): the scan returns
large-target-confirmation-required unless bounded with --max-depth or confirmed with
--confirmed-large-scan. --root-children is invalid on a non-OS volume root or a non-volume
target; scan those without the flag.
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- evals/evals.json 9.0 KB
- reference/baseline-policy.json 4.2 KB
- reference/safety-model.md 38 KB
- reference/unsupported-platform-handoff.md 9.2 KB
- scripts/destructive_guard.py 104 KB runs code
- scripts/guard_launch_monitor.py 13 KB runs code
- scripts/guard_launch_monitor.test.sh 959 B runs code
- scripts/hygiene.py 146 KB runs code
- scripts/hygiene.test.sh 919 B runs code
- scripts/test_guard_launch_monitor.py 20 KB runs code
- scripts/test_hygiene.py 372 KB runs code
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.
- yesterday First seen · 393 lines · 126 tokens per session scan A aef0833b2d48
clean is a skill published in the GitHub repository melodic-software/claude-code-plugins (15 stars, last pushed today), licensed MIT. It adds 126 tokens to every session and 6,425 once invoked, about $0.0006 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 2026-09-03.
Other skills, from other repositories
linkedin-engine
Daily interactive LinkedIn session: feed posts, DM outreach, prospect research, engagement tracking, and performance review. Human-in-the-loop. Designed for daily /loop.
reddit-reply
Daily follow-up on Reddit engagement. Reads recent reddit-monitor reports, checks each URL for replies to our comments, and drafts follow-up responses. Designed for daily /loop. Load identity and brand-voice first.
social-media-guide
Entry point for social-media — routes to LinkedIn, Reddit, X/Twitter, and the daily social brief.
parallel-orchestrator
Manage parallel Claude Code workstreams using git worktrees. Use when: splitting large tasks across multiple workers, coordinating parallel development, monitoring worker progress, integrating completed work, analyzing work item documents (code reviews, issue lists). Triggers: parallel, orchestrator, worktrees…
parallel-worker
Execute focused implementation tasks in a parallel workflow. Use when: working on assigned files in a worktree, making checkpoint commits, signaling dependencies or blockers, completing orchestrator-assigned tasks. Triggers: worker, checkpoint, worktree, assigned scope, commit prefix, parallel task.
propagate-then-search
For constraint problems: eliminate impossibilities before guessing, reduce search space through inference, fail fast on contradictions.