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 li-ch/law-skills --skill law-pagecountgit clone --depth 1 https://github.com/li-ch/law-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/li-ch/law-skills/law-pagecount)<a href="https://agentmods.dev/skills/li-ch/law-skills/law-pagecount"><img src="https://agentmods.dev/badge/skills/li-ch/law-skills/law-pagecount/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/li-ch/law-skills/law-pagecount"><img src="https://agentmods.dev/badge/skills/li-ch/law-skills/law-pagecount.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 | $0.00044 | $0.00362 |
| Opus 5.5 | $0.00018 | $0.00145 |
| Sonnet 5.5 | $0.00009 | $0.00072 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
law-pagecount 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 2mo 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.
What it actually says
LAW Page Count
Count pages per section from a compiled paper PDF. This is invoked automatically after law-build succeeds.
Workflow
Step 1: Check for bookmarks
If the PDF has no bookmarks (outlines), enable them by running scripts/enable-bookmarks.sh, then trigger a rebuild before counting.
Step 2: Count pages
Run scripts/count-pages.sh [paper_root] which uses pikepdf (or pdftk fallback) to extract section titles and page numbers from the PDF outline.
Step 3: Report
Output the per-section page counts in a readable format:
§1 Introduction — pages 1–2 (1.5 pages)
§2 Background — pages 3–4 (1.2 pages)
Step 4: Leave reminders
After counting, add a note to todo.md:
- [ ] Re-disable PDF bookmarks before submission (enabled by law-pagecount)
And add a note to AGENTS.md if not already present:
<!-- law-pagecount: bookmarks re-enabled for page counting. Re-disable before submission. -->
Step 5: Re-disabling bookmarks
Only re-disable bookmarks when the user explicitly asks. The user must request it — never do it automatically.
Prerequisites
- Python 3 with
pikepdf(pip install pikepdf) ORpdftk
If neither is installed, report the missing dependency and skip the count.
What ships with it
2 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.
- 2mo ago First seen · 50 lines · 44 tokens per session scan A d63999210bc6
law-pagecount is a skill published in the GitHub repository li-ch/law-skills (11 stars, last pushed 9d ago), licensed MIT. It adds 44 tokens to every session and 362 once invoked, about $0.0002 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 2026-08-30.
law-pagecount compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| law-pagecountli-ch/law-skills | Skill | 11 | 9d ago | MIT | A | 44 | Claude Code, Codex |
| apify-youtube-transcript-scrapersickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 48 | Claude Code |
| foundry-hosted-agent-validationmicrosoft/agent-framework | Skill | 15k | yesterday | MIT | A | 82 | Claude Code, Codex |
| skill-doc-deliverynyldn/claude-octopus | Skill | 4.4k | yesterday | MIT | A | 29 | Claude Code |
| meta-web-to-pdf-briefingopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 45 | Claude Code, Codex |
| paper-readerhuangkiki/dailypaper-skills | Skill | 1.3k | 4d ago | Apache-2.0 | A | 135 | Claude Code, Codex |
| chat-complex-documentsvellum-ai/vellum-assistant | Skill | 1.5k | 2d ago | MIT | A | 90 | Claude Code, Codex |