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 eddiebelaval/squire --skill copy-editinggit clone --depth 1 https://github.com/eddiebelaval/squireWrote 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/eddiebelaval/squire/copy-editing)<a href="https://agentmods.dev/skills/eddiebelaval/squire/copy-editing"><img src="https://agentmods.dev/badge/skills/eddiebelaval/squire/copy-editing/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/eddiebelaval/squire/copy-editing"><img src="https://agentmods.dev/badge/skills/eddiebelaval/squire/copy-editing.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 | $0.00073 | $0.03086 |
| Opus 5 | $0.00036 | $0.01543 |
| Sonnet 5 | $0.00015 | $0.00617 |
| Haiku 4.5 | $0.00007 | $0.00309 |
Grade A, and why
copy-editing 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 7d 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
83% identical to copy-editing — 168 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 — 460 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Core Workflows
Workflow 1: Primary Action
- Analyze the input and context
- Validate prerequisites are met
- Execute the core operation
- Verify the output meets expectations
- Report results
The Seven Sweeps Framework
Edit copy through seven sequential passes, each focusing on one dimension. After each sweep, loop back to check previous sweeps aren't compromised.
Sweep 1: Clarity
Focus: Can the reader understand what you're saying?
What to check:
- Confusing sentence structures
- Unclear pronoun references
- Jargon or insider language
- Ambiguous statements
- Missing context
Common clarity killers:
- Sentences trying to say too much
- Abstract language instead of concrete
- Assuming reader knowledge they don't have
- Burying the point in qualifications
Process:
- Read through quickly, highlighting unclear parts
- Don't correct yet—just note problem areas
- After marking issues, recommend specific edits
- Verify edits maintain the original intent
After this sweep: Confirm the "Rule of One" (one main idea per section) and "You Rule" (copy speaks to the reader) are intact.
Sweep 2: Voice and Tone
Focus: Is the copy consistent in how it sounds?
What to check:
- Shifts between formal and casual
- Inconsistent brand personality
- Mood changes that feel jarring
- Word choices that don't match the brand
Common voice issues:
- Starting casual, becoming corporate
- Mixing "we" and "the company" references
- Humor in some places, serious in others (unintentionally)
- Technical language appearing randomly
Process:
- Read aloud to hear inconsistencies
- Mark where tone shifts unexpectedly
- Recommend edits that smooth transitions
- Ensure personality remains throughout
After this sweep: Return to Clarity Sweep to ensure voice edits didn't introduce confusion.
Sweep 3: So What
Focus: Does every claim answer "why should I care?"
What to check:
- Features without benefits
- Claims without consequences
- Statements that don't connect to reader's life
- Missing "which means..." bridges
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.
- 7d ago First seen · 460 lines · 73 tokens per session scan A 03f7e1ca56d4
copy-editing is a skill published in the GitHub repository eddiebelaval/squire (21 stars, last pushed 25d ago), licensed MIT. It adds 73 tokens to every session and 3,086 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to copy-editing, differing in 168 lines, and is treated as a copy.
Other skills, from other repositories
CSOC Operations & Playbook Automation
SOC alert triage, incident playbook automation, escalation workflows, shift reporting, and SOC KPI tracking.
beevibe-team-mesh-negotiation
Multi-round negotiation protocol — covers both initiator and peer roles. Use when about to call negotiate(), when receiving a intent block as a peer, or when receiving an 'escalated' sentinel from a blocked respondnegotiate. Covers proposal crafting, counter-strategy, deadlock detection, when to accept early…
testing-llm
LLM and AI testing patterns — mock responses, evaluation with DeepEval/RAGAS, structured output validation, and agentic test patterns (generator, healer, planner). Use when testing AI features, validating LLM outputs, or building evaluation pipelines.
web-research-workflow
Unified decision tree for web research and competitive monitoring. Auto-selects WebFetch, Tavily, or agent-browser based on target site characteristics and available API keys. Includes competitor page tracking, snapshot diffing, and change alerting. Use when researching web content, scraping, extracting raw markdown…
bmad-dev-story
Execute story implementation following a context filled story spec file. Use when the user says "dev this story [story file]" or "implement the next story in the sprint plan".
flyio
Version: 1.0.0 | Target Size: <25KB | Purpose: Fast reference for Fly.io deployments and global application distribution.