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Agent skill

Speckit Wiki Query

by haru in haru/redmine_ai_helper

Answer a question from the wiki with page and source citations; flag coverage gaps

MITAuto-check passedKnowledge Management

Install Speckit Wiki Query

skills CLI
$ npx skills add haru/redmine_ai_helper --skill speckit-wiki-query -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install haru/redmine_ai_helper speckit-wiki-query --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/haru/redmine_ai_helper.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/speckit-wiki-query .claude/skills/speckit-wiki-query && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
speckit-wiki-query
GitHub stars
106
Token cost
~699 tokens
SKILL.md length
363 words
Files
1
Skills in repo
21
Repo updated
First seen
Licence
MIT

At a glance

Answer a question from the wiki with page and source citations; flag coverage gaps

  • Works in 4 steps: Resolve the wiki → Select pages → Answer with citations → …
  • Tasks that involve LLM wikis
  • SKILL.md covers User Input, Steps and Guardrails
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Speckit Wiki Query is an agent skill from haru/redmine_ai_helper. Answer a question from the wiki with page and source citations; flag coverage gaps

Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires spec-kit project structure with .specify/ directory

It sits in Knowledge Management, covering LLM wikis, Spec-driven development and Test coverage. The repository describes itself as: A Redmine plugin that adds AI agents, MCP Server, smart completion, and vector search. The licence is MIT.

When your agent uses it

  • Tasks that involve LLM wikis
  • Tasks that involve Spec-driven development
  • Tasks that involve Test coverage

Example prompts

  • “/speckit-wiki-query”

Requirements

  • Compatibility (from SKILL.md): Requires spec-kit project structure with .specify/ directory

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Resolve the wiki
  2. Select pages
  3. Answer with citations
  4. State coverage honestly

What it can do on your machine

Read from SKILL.md and the folder at commit 3cd87d6. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires spec-kit project structure with .specify/ directory

    From compatibility in the SKILL.md frontmatter.

Context cost

Speckit Wiki Query loads about 699 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 363 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~25
When it runs · the whole SKILL.md, loaded when a task matches
~699

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from haru/redmine_ai_helper at commit 3cd87d6, republished under its MIT licence (© haru). 363 words, ~699 tokens.

Download SKILL.mdSave it as .claude/skills/speckit-wiki-query/SKILL.md (or your agent's skills folder).
name
speckit-wiki-query
description
Answer a question from the wiki with page and source citations; flag coverage gaps
compatibility
Requires spec-kit project structure with .specify/ directory
metadata.author
formin
metadata.source
extension:wiki
user-invocable
true
disable-model-invocation
false

Wiki Query Skill

Query the Wiki

Answer a question from the wiki pages, with citations — or say plainly that the wiki cannot answer it yet and what to ingest to fix that. This is the query operation of Karpathy's LLM Wiki pattern, and it is also how you test the wiki: an answer the pages cannot support is a coverage gap, not an invitation to improvise.

User Input

text
$ARGUMENTS

$ARGUMENTS is the question. If empty, give a one-screen overview of what the wiki currently knows (scope, page types and counts, notable pages) and stop.

Steps

1. Resolve the wiki

Load configuration exactly as /speckit.wiki.init does. If WIKI_DIR/SCHEMA.md does not exist, report that no wiki exists and recommend /speckit.wiki.init — do not answer the question from general knowledge.

2. Select pages

Read INDEX.md and pick the pages most relevant to the question — at most query.pages_slice, staying within the query.context_tokens render budget. Prefer pages whose type matches the question's shape (a "why did we…" question → decision pages; a "how does X work" question → component pages).

3. Answer with citations

Read only the selected pages. Compose the answer such that:

  • every load-bearing statement names its wiki page and carries the page's source IDs, e.g. …retries are idempotent by key (idempotency-keys, S003);
  • conflicting page content (> ⚠ conflict: markers) is surfaced as conflicting, with both sides and their sources — never pick a winner silently;
  • pages the answer relied on are listed at the end.
Show full SKILL.md (127 more words)Show less
4. State coverage honestly

Close with one of:

  • Covered — the pages fully support the answer.
  • Partial — say exactly which part is unsupported, and recommend the concrete ingest that would close the gap (/speckit.wiki.ingest <likely source>).
  • Uncovered — the wiki has nothing; say so, and recommend where the answer likely lives (a feature's research.md, a file, a URL) as an ingest target.

Guardrails

  • Read-only. This command writes nothing — no pages, no index, no registry.
  • Answer only from wiki pages. General knowledge may be used to phrase the answer, never to supply facts the pages do not contain.
  • If pages disagree, report the disagreement; resolving it is /speckit.wiki.lint's and the user's job.
  • Respect the slice and token caps — a focused answer from 5 pages beats a vague one from 50.

© haru, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/speckit-wiki-query of haru/redmine_ai_helper.

Open the folder on GitHubat commit 3cd87d6

Compare with similar skills

Speckit Wiki Query next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Speckit Wiki Query compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Speckit Wiki Query this skillharu/redmine_ai_helper106—~699Automated safety check: PassMIT
LLM Wikilewislulu/llm-wiki-skill655—~3.7kAutomated safety check: PassNone
Wiki Queryrohitg00/pro-workflow2.9k—~554Automated safety check: PassNone
Wiki Context PackAr9av/obsidian-wiki3.5k—~752Automated safety check: NotesMIT
Llmwikiatomicstrata/llm-wiki-compiler2.2k—~814Automated safety check: PassMIT
Karpathy LLM WikiAstro-Han/karpathy-llm-wiki2.5k—~3.6kAutomated safety check: PassMIT

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More from haru/redmine_ai_helper

All 21 skills in this repo

  • Commit

    haru/redmine_ai_helper

    Stage the current changes and create a git commit with a properly formatted English message.

    106 GitHub stars~1.1k tokensUpdated today
    Auto-check: notes

  • Create Pull Request

    haru/redmine_ai_helper

    Create a pull request from the current branch. An agent skill from haru/redmine_ai_helper.

    106 GitHub stars~1.5k tokensUpdated today
    Auto-check passed

  • Create Release Branch

    haru/redmine_ai_helper

    Create a release branch for a given version. An agent skill from haru/redmine_ai_helper.

    106 GitHub stars~599 tokensUpdated today
    Auto-check passed

  • Qlty Check

    haru/redmine_ai_helper

    Code quality checks, formatting, and metrics via qlty CLI. An agent skill from haru/redmine_ai_helper.

    106 GitHub starsUsed in 2 repos~628 tokens
    Auto-check passed

  • Redmine Playwright Login

    haru/redmine_ai_helper

    Connect to the running Redmine instance and log in via the Playwright MCP browser, using REDMINEPLAYRIGHTURL/REDMINEPLAYRIGHTUSER/REDMINEPLAYRIGHTPASSWORD environment variables.

    106 GitHub stars~796 tokensUpdated today
    Auto-check passed

  • Recreate Test DB

    haru/redmine_ai_helper

    Recreate the Redmine test database from scratch (delete db/schema.rb and db/redmine.sqlite3test, then run core and plugin migrations with RAILSENV=test).

    106 GitHub stars~364 tokensUpdated today
    Auto-check passed

Categories

Questions about Speckit Wiki Query

What does Speckit Wiki Query do?

Answer a question from the wiki with page and source citations; flag coverage gaps. Speckit Wiki Query is an agent skill from haru/redmine_ai_helper.

When should I use Speckit Wiki Query?

Speckit Wiki Query fits situations like: tasks that involve LLM wikis; tasks that involve Spec-driven development; tasks that involve Test coverage.

How do I install Speckit Wiki Query in Claude Code?

Run `npx skills add haru/redmine_ai_helper --skill speckit-wiki-query -a claude-code`. Or copy the skill folder (.claude/skills/speckit-wiki-query in haru/redmine_ai_helper) into .claude/skills/speckit-wiki-query in your project. Claude Code loads it when a task matches its description.

How do I install Speckit Wiki Query in Codex?

Run `npx skills add haru/redmine_ai_helper --skill speckit-wiki-query -a codex`. Or copy the skill folder (.claude/skills/speckit-wiki-query in haru/redmine_ai_helper) into .agents/skills/speckit-wiki-query in your project. Codex loads it when a task matches its description.

Can I use Speckit Wiki Query in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add haru/redmine_ai_helper --skill speckit-wiki-query -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/speckit-wiki-query, .gemini/skills/speckit-wiki-query, .github/skills/speckit-wiki-query and .opencode/skills/speckit-wiki-query in your project.

What does Speckit Wiki Query need to run?

SKILL.md names no scripts, command-line tools or credentials: Speckit Wiki Query is instructions for the agent only. Compatibility (from SKILL.md): Requires spec-kit project structure with .specify/ directory.

Does Speckit Wiki Query access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Speckit Wiki Query safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Speckit Wiki Query use?

Speckit Wiki Query is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Speckit Wiki Query use?

About 699 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Speckit Wiki Query?

Skills that share tags, products or a category with Speckit Wiki Query: LLM Wiki (lewislulu/llm-wiki-skill, 655 stars), Wiki Query (rohitg00/pro-workflow, 2.9k stars), Wiki Context Pack (Ar9av/obsidian-wiki, 3.5k stars) and Llmwiki (atomicstrata/llm-wiki-compiler, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Speckit Wiki Query?

haru (a GitHub user) maintains it in haru/redmine_ai_helper, which has 106 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on October 10, 2026.

Source: haru/redmine_ai_helper on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.