unslop

REVIEW · 63
Registry indexed

Cut AI tells from any writing. Must always apply.

Verified installs0
Stars19
Version1.0.0
Quality60/100 · Promising
Trust63/100 · Sandbox only
Audit76/100 · Needs review

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add sero-labs/sero --skill unslop

Maintenance

fresh

3d since push

Risk

Needs review

Permission surface may require sandboxing

GitHub quality

19

60/100 Quality · 71/100 Trust

Coverage tags

ResearchRAG and knowledgeautomationagent-skill

Review notes

Permission surface may require sandboxing · Low GitHub adoption signal

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
60

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
63

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
76

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

19 GitHub stars

Repo activity

19 stars, 1 forks

Maintenance

3d since push

License

Apache-2.0

Install

npx skills add sero-labs/sero --skill unslop

Install safety

standard package or runtime install path

Permission surface

filesystem or document access, network or browser access

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Review before production

  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: filesystem or document access, network or browser access
  • GitHub adoption: 19 GitHub stars

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Browser automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Navigate pages

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add sero-labs/sero --skill unslop
Policy
review
Human review
yes

Trust and risk

Trust
63/100
Audit
76/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add sero-labs/sero --skill unslop

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • Permission surface may require sandboxing
  • Quality score needs review

Agent safety v2

56/100 · Review before install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

medium

Database access

Skill may inspect schemas, query databases, or work with persistent stores.

  • Permission surface may require sandboxing

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install sero-labs-unslop

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use unslop in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20unslop%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sero-labs-unslop/install
Install command: npx skills add sero-labs/sero --skill unslop
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use unslop for this task. Review https://www.openagentskill.com/api/skills/sero-labs-unslop/install, then install with: npx skills add sero-labs/sero --skill unslop

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

59/100

Browser automation

Platforms

Claude Code

Audit report

Needs review · 76/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Browser automation

Prototype with this skill first; keep a fallback candidate ready.

59
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Browser automation

Trust label

Prototype first

Install path

Command ready

Use when

  • Browser automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 60/100 quality profile
  • 1 OpenAgentSkill engagement events

review first

  • Low GitHub adoption signal

Implementation path

  1. 1Install it in a sandbox agent and run one Browser automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

63
OpenAgentSkill Trust Score

GitHub adoption

FIX

19 GitHub stars

Stars/forks activity

FIX

19 stars, 1 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3d since push

License clarity

PASS

Apache-2.0

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: filesystem or document access, network or browser access
  • GitHub adoption: 19 GitHub stars
  • Stars/forks activity: 19 stars, 1 forks; issue activity unavailable in current metadata
  • Permission surface: filesystem or document access, network or browser access
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

60
GitHub stars
19
Freshness
3d ago
Install ready
Yes
License
Apache-2.0
Review before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: unslop description: Cut AI tells from any writing. Must always apply. ---

# Unslop

Edit text to remove AI patterns and add human voice.

## Process

1. Scan for the patterns below. 2. Rewrite. Preserve meaning, match intended tone. 3. Add soul (see next section). 4. Self-audit: "What makes this obviously AI generated?" Fix remaining tells.

## Adding soul

Removing patterns is half the job. Sterile, voiceless writing is just as obvious.

- **Have opinions.** React to facts instead of neutrally listing pros and cons. - **Vary rhythm.** Short sentences. Then longer ones that take their time. Mix it up. - **Acknowledge complexity.** "Impressive but also kind of unsettling" beats "impressive." - **Use "I" when it fits.** First person isn't unprofessional. - **Let some mess in.** Perfect structure looks machine-made. - **Be specific.** Not "this is concerning" but "there's something unsettling about agents churning away at 3am."

## Patterns to detect and fix

### Content

1. **Puffery.** "pivotal moment", "testament to", "evolving landscape", "setting the stage for", "indelible mark", "deeply rooted". Cut puffery, state what happened. 2. **Name-dropping.** Listing media outlets without context. Pick one, say what was said. 3. **Superficial -ing phrases.** "highlighting...", "ensuring...", "reflecting...", "showcasing...", "fostering...". Delete or expand with real sources. 4. **Promotional language.** "nestled", "vibrant", "breathtaking", "groundbreaking", "renowned", "stunning", "must-visit". Use neutral descriptions. 5. **Vague attributions.** "Experts believe", "Industry reports suggest", "Some critics argue". Name the source or delete. 6. **Formulaic challenges.** "Despite challenges... continues to thrive." Replace with specific facts.

### Language

7. **AI vocabulary.** Additionally, crucial, delve, enduring, enhance, fostering, garner, interplay, intricate, landscape (abstract), pivotal, showcase, tapestry (abstract), testament, underscore, vibrant. Replace with plain words. 8. **Fancy ways to say "is".** "serves as", "stands as", "boasts", "features". Just say "is" or "has". 9. **"Not just X, but Y."** State the point directly instead. 10. **Rule of three.** Forcing ideas into groups of three. Use the natural number. 11. **Synonym cycling.** Protagonist, main character, central figure, hero all in one paragraph. Pick one, repeat it. 12. **False ranges.** "from X to Y" where X and Y aren't on a meaningful scale. List topics directly.

### Style

13. **Em dash overuse.** Avoid em dashes entirely. Use periods or commas only (no parentheses, no en dashes, no hyphen-as-dash substitutes). Em dashes are an AI tell, and reaching for parentheses instead just trades one tell for another. If a thought needs separation, end the sentence or use a comma. 14. **Colon overuse.** Colons are fine before a list or example. Not as mid-sentence connectors. "If you're coming from traditional automation: instead of registering event handlers, you describe conditions" adds nothing with the colon. Rewrite to let the point stand on its own without comparison framing. "Describing when the scheduler should fire works best as plain English." Same meaning, no crutch punctuation. 15. **Boldface overuse.** Don't bold every proper noun or acronym. 16. **Inline-header lists.** The tell is a bold label and colon that restates the line: "**Performance:** Performance improved...". Convert those to prose. A bold lead-in that ends in a period, names the item, and is followed by genuinely new detail ("**Schema in TypeScript.** Tables live in one file.") is fine, not a tell. 17. **Title case headings.** Use sentence case. 18. **Decorative emojis.** Remove from headings and bullets. 19. **Curly quotes.** Replace with straight quotes.

### Communication artifacts

20. **Chatbot phrases.** "I hope this helps!", "Let me know if...", "Of course!", "Certainly!", "Found the smoking gun!" Remove. 21. **Cutoff disclaimers.** "While specific details are limited..." Find sources or remove. 22. **Sycophantic tone.** "Great question! You're absolutely right!" Respond directly.

### Filler

23. **Filler phrases.** "In order to" becomes "To". "Due to the fact that" becomes "Because". "It is important to note that" gets deleted. 24. **Excessive hedging.** "could potentially possibly be argued that it might" becomes "may". 25. **Generic conclusions.** "The future looks bright." State specific plans or facts.

### Jargon

26. **Abstract metaphor nouns.** Substrate, wedge, vector, locus, vantage, nexus, primitive (as noun), harness (as metaphor), surface (as in "API surface"), bedrock, scaffolding (as metaphor), modality, paradigm, gold-plating, ratchet (as metaphor), evacuate (for moving code), endgame, north star, flywheel. These read as technical but usually have a plainer concrete word. "Substrate" becomes "base". "Wedge in" becomes "add". "Vector" becomes "way" or "method". "Gold-plating" becomes "more than the job needs". "Ratchet" becomes the mechanism's real name or "a limit that only tightens". "Evacuate" becomes "move out". "Endgame" becomes "the last phase". Pick the concrete word.

### Plain speech

27. **Say what it does, not how it feels.** "the database stays close at hand", "SQL you can read", "types that follow your schema" name a feeling. The fix names the mechanism or a number: "`.toSQL()` returns the exact string sent to the database", "a column rename fails the build". Ask what the sentence tells the reader to do or know, then write that. If you can't restate it as a concrete instruction, fact, or number, cut it. One more check: if the sentence could appear unchanged in another project's docs, it says nothing about this one. Cut it. 28. **Shorten or split dense sentences.** If the reader has to backtrack to parse a sentence, break it in two or drop clauses. One idea per sentence. 29. **Active voice.** Prefer it. Catch "is/are/was/were + past participle" and name the actor: "queries are validated" becomes "the compiler validates queries", "the file is parsed by the loader" becomes "the loader parses the file". Passive is fine only when the actor is unknown or genuinely doesn't matter. 30. **Cut adverbs, or use a stronger verb.** "runs quickly" becomes "is fast" or the number. "significantly improves" becomes the measured delta. An adverb propping up a weak verb means the verb is wrong. 31. **Prefer the plain word.** "utilize" becomes "use", "leverage" becomes "use", "facilitate" becomes "help", "numerous" becomes "many", "in the event that" becomes "if". The fancier synonym is rarely clearer.

Technical details

Version
1.0.0
License
Apache-2.0
Last updated
Aug 19, 2026
Published
Aug 19, 2026

Decision snapshot

Fallback candidate

59
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

76
Needs review
Security
81/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for unslop, ready for a manual X post.

Curator note
A practical pick for a repeatable workflow:

unslop: Cut AI tells from any writing. Must always apply.

19 stars

https://www.openagentskill.com/skills/sero-labs-unslop?ref=x
Open X draft
Optional reply with install command
Listing + install path for unslop:
https://www.openagentskill.com/skills/sero-labs-unslop?ref=x

Install: npx skills add sero-labs/sero --skill unslop

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
sero-labs
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to sero-labs but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/sero-labs-unslop?metric=listed&label=Listed)](https://www.openagentskill.com/skills/sero-labs-unslop)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/sero-labs-unslop?metric=trust&label=Trust)](https://www.openagentskill.com/skills/sero-labs-unslop)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/sero-labs-unslop?metric=audit&label=Audit)](https://www.openagentskill.com/skills/sero-labs-unslop/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/sero-labs-unslop?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/sero-labs-unslop)

Author

S

sero-labs

@sero-labs

Platform fit

Health signals

GitHub stars
19
Quality score
33/100
Last GitHub push
Aug 19, 2026
Framework hints
Unknown
OpenAgentSkill views
1
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

63
  • GitHub adoption19 GitHub starsFIX
  • Stars/forks activity19 stars, 1 forks; issue activity unavailable in current metadataFIX
  • Recent maintenance3d since pushPASS
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime risknetwork or browser surface, database surfaceINFO