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 skills add darellchua2/opencode-config-template --skill unslop-skillgit clone --depth 1 https://github.com/darellchua2/opencode-config-templateWrote 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/darellchua2/opencode-config-template/unslop-skill)<a href="https://agentmods.dev/skills/darellchua2/opencode-config-template/unslop-skill"><img src="https://agentmods.dev/badge/skills/darellchua2/opencode-config-template/unslop-skill/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/darellchua2/opencode-config-template/unslop-skill"><img src="https://agentmods.dev/badge/skills/darellchua2/opencode-config-template/unslop-skill.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 | $0.00060 | $0.01786 |
| Opus 5 | $0.00030 | $0.00893 |
| Sonnet 5 | $0.00012 | $0.00357 |
| Haiku 4.5 | $0.00006 | $0.00179 |
Grade A, and why
unslop-skill 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 5d 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
88% identical to unslop — 14 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Unslop
Edit text to remove AI patterns and add human voice.
Process
- Scan for the patterns below.
- Rewrite. Preserve meaning, match intended tone.
- Add soul (see next section).
- 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
- Puffery. "pivotal moment", "testament to", "evolving landscape", "setting the stage for", "indelible mark", "deeply rooted". Cut puffery, state what happened.
- Name-dropping. Listing media outlets without context. Pick one, say what was said.
- Superficial -ing phrases. "highlighting...", "ensuring...", "reflecting...", "showcasing...", "fostering...". Delete or expand with real sources.
- Promotional language. "nestled", "vibrant", "breathtaking", "groundbreaking", "renowned", "stunning", "must-visit". Use neutral descriptions.
- Vague attributions. "Experts believe", "Industry reports suggest", "Some critics argue". Name the source or delete.
- Formulaic challenges. "Despite challenges... continues to thrive." Replace with specific facts.
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.
- 5d ago First seen · 91 lines · 60 tokens per session scan A aa071c0e83ba
unslop-skill is a skill published in the GitHub repository darellchua2/opencode-config-template (6 stars, last pushed 2d ago), licensed Apache-2.0. It adds 60 tokens to every session and 1,786 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to unslop, differing in 14 lines, and is treated as a copy.
Other skills, from other repositories
keep-the-why
Extract and preserve the reasoning code cannot explain - decisions, rejected alternatives, workarounds, incidents, constraints - plus project setup and maintainer interviews. Not for what changed (see Keep a Changelog) - only why.
review
Adversarial fresh-context review of an increment before it ships. Every finding cites path:line and is re-verified. Use when saying "review", "grill this", or "critique the implementation".
sw-do
Implement a SpecWeave increment task by task through the ledger, with evidence per task and a verified close. Use for "implement this", "start working", "continue the increment", "keep going".
done
Close an increment: ledger check, specweave verify, optional review, then specweave complete. Use when all tasks are done and saying "close increment", "we are done", or "finish up".
summarize
A guide for turning conversations, logs, documents, or investigation notes into short, action-oriented summaries. It requires conclusions to be tied to available evidence and distinguishes confirmed facts from items still needing confirmation.
pre-modification-check
Use before modifying, refactoring, moving, or deleting files in a Repowise-indexed repository, especially shared utilities, core modules, public APIs, or files the user did not explicitly identify.