Borrowing it
Nothing to install: this file belongs to flumpiey/linkwarden-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/flumpiey/linkwarden-mcp/main/.claude/skills/stop-slop/SKILL.mdgit clone --depth 1 https://github.com/flumpiey/linkwarden-mcpWrote 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/flumpiey/linkwarden-mcp/stop-slop)<a href="https://agentmods.dev/skills/flumpiey/linkwarden-mcp/stop-slop"><img src="https://agentmods.dev/badge/skills/flumpiey/linkwarden-mcp/stop-slop/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/flumpiey/linkwarden-mcp/stop-slop"><img src="https://agentmods.dev/badge/skills/flumpiey/linkwarden-mcp/stop-slop.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 | $0.00026 | $0.00615 |
| Opus 5 | $0.00013 | $0.00308 |
| Sonnet 5 | $0.00005 | $0.00123 |
| Haiku 4.5 | $0.00003 | $0.00061 |
Grade A, and why
stop-slop 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 10d 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.
This is a copy
100% identical to stop-slop — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stop Slop
Eliminate predictable AI writing patterns from prose.
Core Rules
-
Cut filler phrases. Remove throat-clearing openers, emphasis crutches, and all adverbs. See references/phrases.md.
-
Break formulaic structures. Avoid binary contrasts, negative listings, dramatic fragmentation, rhetorical setups, false agency. See references/structures.md.
-
Use active voice. Every sentence needs a human subject doing something. No passive constructions. No inanimate objects performing human actions ("the complaint becomes a fix").
-
Be specific. No vague declaratives ("The reasons are structural"). Name the specific thing. No lazy extremes ("every," "always," "never") doing vague work.
-
Put the reader in the room. No narrator-from-a-distance voice. "You" beats "People." Specifics beat abstractions.
-
Vary rhythm. Mix sentence lengths. Two items beat three. End paragraphs differently. No em dashes.
-
Trust readers. State facts directly. Skip softening, justification, hand-holding.
-
Cut quotables. If it sounds like a pull-quote, rewrite it.
Quick Checks
Before delivering prose:
- Any adverbs? Kill them.
- Any passive voice? Find the actor, make them the subject.
- Inanimate thing doing a human verb ("the decision emerges")? Name the person.
- Sentence starts with a Wh- word? Restructure it.
- Any "here's what/this/that" throat-clearing? Cut to the point.
- Any "not X, it's Y" contrasts? State Y directly.
- Three consecutive sentences match length? Break one.
- Paragraph ends with punchy one-liner? Vary it.
- Em-dash anywhere? Remove it.
- Vague declarative ("The implications are significant")? Name the specific implication.
- Narrator-from-a-distance ("Nobody designed this")? Put the reader in the scene.
- Meta-joiners ("The rest of this essay...")? Delete. Let the essay move.
Scoring
Rate 1-10 on each dimension:
| Dimension | Question |
|---|---|
| Directness | Statements or announcements? |
| Rhythm | Varied or metronomic? |
| Trust | Respects reader intelligence? |
| Authenticity | Sounds human? |
| Density | Anything cuttable? |
What ships with it
6 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.
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.
- 10d ago First seen · 69 lines · 26 tokens per session scan A 7432a1d9ebdd
stop-slop is a skill published in the GitHub repository flumpiey/linkwarden-mcp (0 stars, last pushed 14d ago), licensed MIT. It adds 26 tokens to every session and 615 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to stop-slop, differing in 0 lines, and is treated as a copy.
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