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Wiki Query · open-gitagent | DecimalAI

researchby open-gitagent

Wiki Query

open-gitagent/wiki-query

Source open-gitagent/opengap ↗License MIT

Query the wiki to answer questions. Searches wiki pages, synthesizes answers with citations, and optionally files valuable answers back as new wiki pages.

SkillScore50Maintained

Automatic

Knowledge Management pack

Last verified 8/12/2026

What it changes

Passed 7 of 13 test cases with the skill, and 5 of 13 without it.

Without skill42%

With skill50%

Checks it passed that the model alone missed

The response specifies saving new pages inside memory/wiki/.
The response specifies appending the log entry to memory/log.md.
The response specifies answering factual questions directly with citations.

and 3 more in the full report

6 fixed6 passed either way8 still failing4 broke

Pass-rate lift: +8 pp
Tokens: -22%
Agent turns: 0%
Response time: -50%

Model gemini-3.6-flashMeasured 8/12/2026v112 of 24 cases passed with skill · 13 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/open-gitagent-wiki-query/SKILL.md https://app.decimal.ai/s/open-gitagent-wiki-query/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add open-gitagent-wiki-query, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/open-gitagent-wiki-query/ and pins it in .decimal/skills.lock

decimalai skills add open-gitagent-wiki-query

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/open-gitagent-wiki-query/SKILL.md https://app.decimal.ai/s/open-gitagent-wiki-query/SKILL.md

Raw file: /s/open-gitagent-wiki-query/SKILL.md ↗ · machine-readable summary at /s/open-gitagent-wiki-query.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 6

Prompt

We want to check what our internal notes say about our SOC2 audit status. Should we start by scanning raw logs, or check `memory/wiki/index.md` first to find relevant wiki pages?

What was checked, without and with the skill
Checked	Without skill	With skill
The response specifies reading memory/wiki/index.md before reading individual pages.	Missed	Passed

case-04 · gemini-3.6-flash · 8/12/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md40 linessingle file

Wiki Query

Answer questions by searching and synthesizing from the wiki.

Workflow

Step 1: Search the wiki

Read memory/wiki/index.md to find relevant pages
Use Grep to search for specific terms across memory/wiki/
Read the most relevant pages (usually 3-10)

Step 2: Synthesize an answer

Combine information from multiple wiki pages
Cite sources: reference both wiki pages and the underlying raw documents
Note confidence level — distinguish well-sourced claims from inferences
Flag if the wiki has gaps on this topic

Step 3: Present the answer

Format depends on the question:

Factual question — direct answer with citations
Comparison — markdown table comparing entities/concepts
Overview — structured summary with sections
Analysis — synthesis with explicit reasoning chain

Step 4: File back (if valuable)

If the answer represents a useful synthesis that doesn't exist as a wiki page:

Ask the user: "This answer synthesizes information that isn't captured in the wiki yet. Should I file it as a new page?"
If yes: create a new wiki page in memory/wiki/
Update memory/wiki/index.md

Append to memory/log.md:

## [YYYY-MM-DD] query-filed | Page Title
- Question: [original question]
- Pages referenced: [list]
- New page: memory/wiki/page-name.md

Key Insight

Good answers should not disappear into chat history. A comparison you asked for, an analysis, a connection you discovered — these are valuable wiki content. Filing them back means your explorations compound in the knowledge base just like ingested sources do.

Track record

Benchmark

7 / 13

test cases passed, vs 5 / 13 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

open-gitagent / opengap

examples/llm-wiki/skills/wiki-query/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Wiki Query

Workflow

Step 1: Search the wiki

Step 2: Synthesize an answer

Step 3: Present the answer

Step 4: File back (if valuable)

Key Insight

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills