Borrowing it
Nothing to install: this file belongs to alfadur7/llm-wiki-newsroom. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/alfadur7/llm-wiki-newsroom/main/.claude/skills/encyclopedia-writing/SKILL.mdgit clone --depth 1 https://github.com/alfadur7/llm-wiki-newsroomWrote 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/alfadur7/llm-wiki-newsroom/encyclopedia-writing)<a href="https://agentmods.dev/skills/alfadur7/llm-wiki-newsroom/encyclopedia-writing"><img src="https://agentmods.dev/badge/skills/alfadur7/llm-wiki-newsroom/encyclopedia-writing/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/alfadur7/llm-wiki-newsroom/encyclopedia-writing"><img src="https://agentmods.dev/badge/skills/alfadur7/llm-wiki-newsroom/encyclopedia-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00095 | $0.02352 |
| Opus 5 | $0.00048 | $0.01176 |
| Sonnet 5 | $0.00019 | $0.00470 |
| Haiku 4.5 | $0.00010 | $0.00235 |
Grade A, and why
encyclopedia-writing 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 13d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
encyclopedia-writing
Neutral-reference writing craft drawn from the encyclopedic editing tradition (the Wikipedia policy family). It keeps this wiki's overview, issue, and hub pages a connected reference that is grounded in facts and sources and advocates no particular viewpoint. criteria.json is the SoT for each criterion's definition, comparator, and source; content-type thresholds and algorithm params are injected by .claude/layers/_manifest.json (the skill is content-type-agnostic). Examples are illustrative of the target English prose; the Korean-rendering rules below apply only when WIKI_LANG=ko and are inert on the default English corpus.
Wikilink connectivity (enc.link-density · enc.first-mention · enc.lead-body)
A reference's value comes from the link density that lets a reader move to adjacent concepts; at the same time, re-linking the same target within one section is visual noise.
- enc.link-density — the EDITOR region (excluding AUTO blocks) holds at least the threshold number of
[[wikilink]]s. "Articles on highly technical subjects might demand a higher density of links," so technical/finance domains are allowed slightly above the ceiling. - enc.first-mention — "link a term at most once per major section, at first occurrence." A second link of the same stem within a section becomes plain text. A section that structurally cites the same target twice (e.g. adjacent-field boundary prose) is exempted via the manifest's
exempt_sections. - enc.lead-body — "the lead of an article usually has a greater density of links than later parts of the article"; this is expected, since the reader's first encounter is where navigation options should be densest. Because which span counts as the lead is content-type-bound, the orchestrator measures it.
All three are deterministic; checks.py (link-density·first-mention) or the orchestrator (lead-body) computes PASS/FAIL with manifest-injected thresholds/params.
Neutrality & notation (enc.verdict-restraint · enc.slug-alias · enc.abbr-gloss · enc.encyclopedic-tone)
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.
- 13d ago First seen · 73 lines · 95 tokens per session scan A 49a489419948
encyclopedia-writing is a skill published in the GitHub repository alfadur7/llm-wiki-newsroom (85 stars, last pushed yesterday), licensed MIT. It adds 95 tokens to every session and 2,352 once invoked, about $0.0005 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 2026-08-30.
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