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 existential-birds/beagle --skill humanize-beaglegit clone --depth 1 https://github.com/existential-birds/beagleWrote 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/existential-birds/beagle/humanize-beagle)<a href="https://agentmods.dev/skills/existential-birds/beagle/humanize-beagle"><img src="https://agentmods.dev/badge/skills/existential-birds/beagle/humanize-beagle/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/existential-birds/beagle/humanize-beagle"><img src="https://agentmods.dev/badge/skills/existential-birds/beagle/humanize-beagle.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 | $0.00036 | $0.02933 |
| Opus 5.5 | $0.00014 | $0.01173 |
| Sonnet 5.5 | $0.00007 | $0.00587 |
| Haiku 4.5 | $0.00004 | $0.00293 |
Grade A, and why
humanize-beagle 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 1mo 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 — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Humanize
Apply fixes from a previous review-ai-writing run with automatic safe/risky classification. Builds on the writing principles in docs-style.
Usage
Invoke the humanize-beagle skill with optional flags: humanize-beagle [--dry-run] [--all] [--category <name>].
Flags:
--dry-run- Show what would be fixed without changing files--all- Fix entire codebase (runs review with --all first)--category <name>- Only fix specific category:content|vocabulary|formatting|communication|filler|code_docs
Instructions
Hard gates
Advance past destructive or evidence-bound steps only when each PASS is true (commands and artifacts—not “I checked mentally”):
- G1 — Safe to edit files — PASS:
git status --porcelainis empty, orgit stash push -u -m "beagle-docs: pre-humanize backup"exits 0. - G2 — Review input is real JSON with expected shape — PASS:
.beagle/ai-writing-review.jsonexists and the file parses as JSON with agit_headkey and afindingsvalue that is an array (possibly empty). Use thejq -ecommand in step 3, or the same checks withjson.loadin Python. If this fails, stop with a parse/validation error—do not apply fixes. - G3 — References before rewrites — PASS: For each finding you will edit, the
references/*.mdfiles required by step 4 for that category/type are read in this session before you change text. - G4 — Per-file validation — PASS: Every modified file passes the step 8 check for its type; otherwise run
git checkout -- "$file"for that file and do not list it as OK in the summary. - G5 — Delete review file only on full success — PASS: Run
rm .beagle/ai-writing-review.jsononly when G4 holds for all files you are keeping unchanged from validation failures (aligns with step 10).
1. Parse Arguments
Extract flags from $ARGUMENTS:
--dry-run- Preview mode only--all- Full codebase scan--category <name>- Filter to specific category
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 287 lines · 36 tokens per session scan A 1e15962668d4
humanize-beagle is a skill published in the GitHub repository existential-birds/beagle (82 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 36 tokens to every session and 2,933 once invoked, about $0.0001 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 2026-09-16.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…