agentleFS
hua2003-liuhua2003-liu/dsh-stop-that-shit/skills/stss/SKILL.md

stss

Skill0 starsChanged 20 days agoMITView on GitHub

Reduce defensive disclaimers, stacked hedging, and self-protective narration when drafting, rewriting, or auditing proposals, articles, case studies, captions, and other reader-facing prose. Use when defensive wording is requested for review or appears in a draft, including wording the assistant adds. Preserve meaningful limits; do not perform general style cleanup or ordinary code work.

1 other project uses a version of this.

Adopted by

Most recently taken up by

  • Other versions1 project uses a version of this.

    Word for word · 1

    1. lennney/stop-that-shit★ 3.7k100% same

    Edited · 0

    None found.

    Wrote their own version · 0

    None found.

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repositoryOne other file it gives its agents.

The file

Show its rules and text

We split this skill into the rules it gives an agent

13 rules. About 0 are common, 12 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈12

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Follow an explicit mode. Infer the mode from the request only when none is given.

    line 24
  2. Distinctive:

    Before editing, build a private Claim Ledger from the supplied material:

    line 30
  3. Distinctive:

    Do not print the ledger unless the user asks for it.

    line 38
  4. Distinctive:

    Do not decide from a keyword alone.

    line 57
  5. Distinctive:

    Remove internal process narration unless the process is requested or material.

    line 64
  6. Distinctive:

    Put a necessary limitation beside the claim it limits.

    line 65
  7. Distinctive:

    Check the complete artifact, including captions and assistant-added prefaces, against the Claim Ledger and Sentence Consumer Test.

    line 66
  8. Very specific:

    Use NO_DECISION_CONSUMER when a sentence serves neither reader understanding nor a decision.

    line 79
  9. Distinctive:

    Before returning the result, verify:

    line 83
  10. Distinctive:

    no supplied fact, number, source, or actor disappeared without reason.

    line 85
  11. Distinctive:

    no new fact, number, source, or actor appeared.

    line 86
  12. Distinctive:

    Run one claim-preserving pass.

    line 91
  13. Distinctive:

    Read references/examples.md when the boundary is ambiguous or the user asks for examples.

    line 93

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Stop That Shit Slop

别再废话。

Make the point without writing for an imaginary critic. Preserve limitations that change what the reader understands or decides.

Stay in scope

Reduce defensive wording in reader-facing prose, including captions and introductions. Do not classify text as AI-written, promise to remove an "AI voice," humanize unrelated prose, or perform a general style cleanup.

Judge sentences by their reader use, including sentences introduced during drafting. A request to describe a project's evolution calls for that history; it does not by itself call for an account of how the article's sources were checked.

Select the mode

  • rewrite: Return a tighter version. This is the default when the user provides text without a mode.
  • audit: Identify defensive writing and propose the smallest useful fix. Do not rewrite the full text.

Follow an explicit mode. Infer the mode from the request only when none is given.

For a drafting request, create the requested artifact from the supplied material and apply the rewrite checks before returning it.

Record the claims

Before editing, build a private Claim Ledger from the supplied material:

  • facts and numbers;
  • named actors and sources;
  • evidence strength;
  • stated uncertainty and scope;
  • what the reader needs to understand or do.

Do not print the ledger unless the user asks for it. Do not add facts, sources, numbers, certainty, or causality.

Keeping facts accurate does not require printing every editorial note. Keep verification logs and source-checking process in working notes unless the reader needs them. Preserve useful attribution, actual methods, and conditions that affect a claim.

Test each defensive sentence

Apply the Sentence Consumer Test:

  1. Who will use this sentence?
  2. What understanding or decision does it change for this reader?
  3. What becomes false or misleading if it is removed?

Choose one action:

  • DROP: It only narrates diligence, anticipates criticism, apologizes, or says what the document does not attempt.
  • CALIBRATE: It contains real uncertainty but uses stacked hedges. Keep one precise limitation.
  • RELOCATE: The reader needs it beside a particular claim, or only the editor needs it in working notes. Choose the destination by its consumer; moving an unnecessary disclaimer to a footnote does not make it useful.
  • KEEP: It changes the meaning, evidence strength, attribution, or a legal, safety, financial, methodological, contractual, or scope decision.

Do not decide from a keyword alone. The same phrase can be waste in one context and necessary in another.

Rewrite

  1. Lead with the requested subject, claim, decision, or proposal.
  2. State scope positively: say what the work covers.
  3. Replace stacked hedges with one evidence-matched qualifier.
  4. Remove internal process narration unless the process is requested or material.
  5. Put a necessary limitation beside the claim it limits.
  6. Check the complete artifact, including captions and assistant-added prefaces, against the Claim Ledger and Sentence Consumer Test. Do not reintroduce dropped defenses in the delivery note.

Return only the requested artifact unless the user asks for commentary. If the text is already direct and faithful, return it unchanged.

Audit

Report only actionable findings. For each finding, give:

  • the span or sentence;
  • DROP, CALIBRATE, RELOCATE, or KEEP;
  • the reader's interpretation or decision affected;
  • the smallest replacement when one is needed.

Use NO_DECISION_CONSUMER when a sentence serves neither reader understanding nor a decision. If there are no actionable findings, say so and stop.

Check the claim diff

Before returning the result, verify:

  • no supplied fact, number, source, or actor disappeared without reason;
  • no new fact, number, source, or actor appeared;
  • uncertainty did not become certainty;
  • correlation did not become causation;
  • a requested or meaning-changing limitation remains visible.

Run one claim-preserving pass. Do not add a score, a probability that text is AI-written, a change diary, or repeated self-review.

Read references/examples.md when the boundary is ambiguous or the user asks for examples.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.