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 jerseycheese/agent-skills --skill plain-language-auditgit clone --depth 1 https://github.com/jerseycheese/agent-skillsWrote 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/jerseycheese/agent-skills/plain-language-audit)<a href="https://agentmods.dev/skills/jerseycheese/agent-skills/plain-language-audit"><img src="https://agentmods.dev/badge/skills/jerseycheese/agent-skills/plain-language-audit/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/jerseycheese/agent-skills/plain-language-audit"><img src="https://agentmods.dev/badge/skills/jerseycheese/agent-skills/plain-language-audit.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 | $0.00069 | $0.02290 |
| Opus 5.5 | $0.00028 | $0.00916 |
| Sonnet 5.5 | $0.00014 | $0.00458 |
| Haiku 4.5 | $0.00007 | $0.00229 |
Grade A, and why
plain-language-audit 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plain Language Audit
A sweep for text that's harder to read than it needs to be — jargon standing in for a plainer word, AI writing tells that make prose sound generated instead of written, and verbosity that says less in more words. Covers code comments, docstrings, markdown docs, and user-facing UI copy/strings.
It's prose and tone only. For code correctness or structure problems (fake fallbacks, dead logic), use dead-code-cleanup or code-health-audit instead.
This is the prose counterpart to doc-rot (which fixes docs that are wrong) and code-health-audit (which fixes code that's overengineered) — this one fixes text that's hard to read, whether or not it's accurate.
Developer-facing text (comments, docstrings, internal docs, PR/issue prose) gets the full treatment: plain language, AI-tell removal, tightening, and — where genuinely a rewrite rather than a mechanical swap — the user's own voice (apply the voice skill, canon at ~/.agents/voice.local.md).
User-facing UI copy (button labels, error messages, empty states, in-app strings) gets plain language, AI-tell removal, and tightening only — never the developer-voice rewrite. It's a different audience with its own conventions (see the design:ux-copy skill if one's installed); don't impose "sounds like Jack" on a "Forgot password?" link. UI copy findings always go in the judgment-call bucket below, never auto-fixed.
This skill is for auditing text that already lives in a repo. If the actual ask is "make this pasted paragraph more concise" or "tighten my last reply" with no file/repo target, that's a direct edit to the text in front of you — just do it. Don't run git pre-flight, don't create or touch an audit-memory file, don't treat a standalone rewrite request as a repo sweep.
Pre-flight
Per the user's git workflow: git fetch && git status, confirm the right base branch and that it's synced. Then scope it — don't boil the ocean. State what's in range (a directory, a domain, recently-touched files) and confirm before sweeping a whole repo. Keep that confirmed scope as a variable through the rest of the run — every search below runs against it, not the whole tree.
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.
- 8d ago Changed · -2 lines · -92 tokens per session d82c781e54e0
- 1mo ago First seen · 109 lines · 161 tokens per session scan A 8d7664df3504
plain-language-audit is a skill published in the GitHub repository jerseycheese/agent-skills (3 stars, last pushed 5d ago), licensed MIT. It adds 69 tokens to every session and 2,290 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.
Other skills, from other repositories
local-places
Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
bluebubbles
Build or update the BlueBubbles external channel plugin for OpenClaw (extension package, REST send/probe, webhook inbound).
market-skill
The main marketing skill. Teaches AI how to produce high-quality marketing assets from scratch. Covers visual direction, motion design, copywriting, platform strategy, and brand identity. For Remotion videos, Nano Banana graphics, Substack headers, X posts, LinkedIn, and product launches. Stops the AI from producing…
nano-banana-skill
Nano Banana image generation for marketing assets. Artist-level visual direction for brand graphics, thumbnails, Substack covers, X post backgrounds, and LinkedIn headers. Covers prompt architecture, lighting direction, composition rules, style consistency, and what to never generate. Stops AI from producing generic…
copy-skill
Copywriting for technical founders. Covers X posts, X threads, Substack editions, LinkedIn posts, product launch captions, and README headlines. Teaches AI to write with the directness of a senior operator and the specificity of an engineer. Stops AI from producing generic marketing copy that sounds like everyone else…
env-scanner
Scan and audit Gemini CLI, Claude Code, Antigravity, Continue, Windsurf, JetBrains AI, and OpenCode environments. Discovers configurations, audits memory tiers, detects skill extraction state, analyzes behavioral tool chains, checks policy governance (v0.40+), and suggests reusable skills with evidence gating.…