llm-wiki-loop: Skill for Claude Code

.claude/skills/wiki-query/SKILL.md

wiki-query is a skill for Claude Code from helicerat/llm-wiki-loop. It costs 55 tokens per session (485 once invoked), scanned A, original, MIT.

A skill for answering questions from a personal wiki, a collection of linked notes, while citing the pages used.

In plain words
What is it for?
Finding what the wiki says about a topic, checking whether something was tested, and saving sourced answers back as wiki pages.
Why use it?
It avoids reading the whole wiki or filling gaps with guesses. It also shows how well-supported each answer is.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is helicerat/llm-wiki-loop's own configuration. It tells Claude Code how to work on llm-wiki-loop itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything llm-wiki-loop configures →

Reuse

Borrowing it

Nothing to install: this file belongs to helicerat/llm-wiki-loop. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/helicerat/llm-wiki-loop/main/.claude/skills/wiki-query/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/helicerat/llm-wiki-loop

Made for: Claude Code.

Wrote 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.

agentmods badge for wiki-query

README.md
[![agentmods](https://agentmods.dev/badge/skills/helicerat/llm-wiki-loop/wiki-query/github.svg)](https://agentmods.dev/skills/helicerat/llm-wiki-loop/wiki-query)
Your own site
<a href="https://agentmods.dev/skills/helicerat/llm-wiki-loop/wiki-query"><img src="https://agentmods.dev/badge/skills/helicerat/llm-wiki-loop/wiki-query/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.

agentmods 80×15 button for wiki-query

Your own site · 80×15
<a href="https://agentmods.dev/skills/helicerat/llm-wiki-loop/wiki-query"><img src="https://agentmods.dev/badge/skills/helicerat/llm-wiki-loop/wiki-query.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 485 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.00485
Opus 5.5 $0.00022 $0.00194
Sonnet 5.5 $0.00011 $0.00097
Haiku 4.5 $0.00006 $0.00049

Measured 2mo ago against content hash 9ca98756c058, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

wiki-query 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.

.claude/skills/wiki-query/SKILL.md · 50 lines

What it actually says

wiki-query

Read in this order, stop early

Cost discipline is the feature. A vault that has to be read in full to be queried is a folder of files with extra steps.

  1. wiki/index.md — the catalogue. Often enough on its own
  2. Frontmatter grep — ^(claim|status|n|tags|summary): across the vault. Rank by exact title match, then tag match, then summary match
  3. Windowed grep — grep -A 10 -B 2 on the candidates. Fifteen to thirty lines each. Most factual questions die here without a single page being opened
  4. Full read — at most 3 pages, at most one hop of links from them

If step 4 does not answer it, the answer is not in the wiki. Say that instead of assembling something plausible from fragments.

Answer

Cite pages with wikilinks. An uncited sentence in an answer is the model talking, and it should be marked as such.

When the answer rests on a claim, state its state and its n. Not as a footnote — in the sentence:

Bullets tracked with higher reach on artifact-anchored posts, rule, n=4. Opening length showed no effect, candidate, n=1 — one run, treat it as nothing.

A user cannot calibrate on an answer that hides how thin the evidence is. This is the single most important line in this skill.

If a relevant claim is retired, say so and give the reason. That is what retired claims are kept for.

File it back

A good answer is a page. Comparisons, syntheses, and connections discovered while answering are worth as much as ingested sources and disappear into chat history by default.

Ask before filing. Then write it, link it, and log:

## [YYYY-MM-DD] query | question -> page created
Changes

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.

  1. 2mo ago First seen · 50 lines · 55 tokens per session scan A 9ca98756c058

Subscribe to this mod's changes

wiki-query is a skill published in the GitHub repository helicerat/llm-wiki-loop (6 stars, last pushed 3mo ago), licensed MIT. It adds 55 tokens to every session and 485 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 2026-08-31.

Related

wiki-query compared with skills from other repositories

wiki-query next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
wiki-queryhelicerat/llm-wiki-loopSkill63mo agoMITA55Claude Code
knowledge-ingestopenclaw/openclawSkill394kyesterdayMITA80Claude Code, Codex
mem0-oss-to-platformmem0ai/mem0Skill68k2d agoApache-2.0A217Claude Code, Codex
forgetasgeirtj/system_prompts_leaksSkill71k2d agoCC0-1.0A74Claude Code, Codex
Cortexdanielmiessler/LifeOSSkill20kyesterdayMITA184Claude Code
memoryopensquilla/opensquillaSkill7.1k6d agoApache-2.0A44Claude Code, Codex
ha-data-storesshiwenwen/hope-agentSkill1.9kyesterdayMITA115Claude Code, Codex