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 GoogilyBoogily/googilyboogily-claude-power-tools --skill update-readmegit clone --depth 1 https://github.com/GoogilyBoogily/googilyboogily-claude-power-toolsWrote 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/googilyboogily/googilyboogily-claude-power-tools/update-readme)<a href="https://agentmods.dev/skills/googilyboogily/googilyboogily-claude-power-tools/update-readme"><img src="https://agentmods.dev/badge/skills/googilyboogily/googilyboogily-claude-power-tools/update-readme/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/googilyboogily/googilyboogily-claude-power-tools/update-readme"><img src="https://agentmods.dev/badge/skills/googilyboogily/googilyboogily-claude-power-tools/update-readme.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 | $0.00190 | $0.02562 |
| Opus 5 | $0.00095 | $0.01281 |
| Sonnet 5 | $0.00038 | $0.00512 |
| Haiku 4.5 | $0.00019 | $0.00256 |
Grade A, and why
update-readme 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 9d 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Update README
Update a project's README.md by exploring the project in parallel and comparing what the README says against what the project actually is. Add what's missing, remove what's gone, update what's changed — and preserve the README's existing voice and structure throughout.
Arguments
Parse $ARGUMENTS for:
- Path (positional, optional): Path to the README file. Default:
./README.md --dry-run: Show the discrepancy report without applying any changes--section <name>: Only analyze and update a specific section (matched by heading text, case-insensitive)
Phase 1: Read & Analyze the Existing README
-
Check if the README file exists at the resolved path.
- If it does not exist: Set a
CREATE_MODEflag and skip ahead to Phase 2. You'll create a README from scratch based on exploration findings. - If it exists: Read the full file and continue with analysis.
- If it does not exist: Set a
-
Extract the section inventory — every heading (H1, H2, H3) with its line range. This is your map of what the README covers.
-
Extract the style fingerprint so you can match it later:
- Heading style:
#markers vs underlines - List style:
-vs*vs1. - Code blocks: fenced with language annotations, or indented?
- Badges/shields: present? What format?
- Emoji usage: frequent, rare, or none?
- Tone: formal, casual, technical?
- Person: "you" (second), "we" (first plural), or impersonal?
- Heading style:
-
Extract factual claims — these are the things that can drift:
- Version numbers
- File/directory counts or lists
- Command names and usage examples
- Dependency names
- URLs and links
- Platform/environment requirements
- Install and setup instructions
Hold all of this in memory. You'll compare it against reality in Phase 3.
Phase 2: Parallel Project Exploration
Dispatch three Agent calls in a single message (Explore subagent type). Each agent has a focused area so they don't duplicate work.
Agent 1 — Structure & Identity
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.
- 9d ago First seen · 215 lines · 190 tokens per session scan A e71de762f4ee
update-readme is a skill published in the GitHub repository GoogilyBoogily/googilyboogily-claude-power-tools (2 stars, last pushed 4mo ago), licensed MIT. It adds 190 tokens to every session and 2,562 once invoked, about $0.0010 per session on Opus 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 2026-09-03.
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