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BF literag

Local retrieval skill for large documentation corpora using independent SQLite knowledge libraries with keyword plus vector hybrid search. Use when searching Blender manuals, API references, SDK docs, framework docs, product docs, blog/article archives, exported markdown doc sets, or any other large external documentation that should not live in OpenClaw's main memory index. Also use when indexing, reindexing, debugging retrieval quality, checking index compatibility/status, or inspecting LiteRAG sqlite metadata. Usage: /literag search <library> <query> | /literag inspect <library> <path> [--start N --end N] | /literag index <library> | /literag status <library> | /literag meta <library> | /literag benchmark <library> --query ...

ClawHub Agent Skills author: Mozi Arasaka v0.2.2 MIT-0 17 files body ≈ 1 126 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 39/100 · Will not run — References files that are not bundled: scripts/literag-query.py, scripts/literag-index.py, scripts/literag-status.py

IntegrationBlenderWriting and documentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
F
39/100
Will not run
References files that are not bundled: scripts/literag-query.py, scripts/literag-index.py, scripts/literag-status.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 17. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/literag-query.py
  • warning missing-ref reference to a missing file: scripts/literag-index.py
  • warning missing-ref reference to a missing file: scripts/literag-status.py
  • warning missing-ref reference to a missing file: scripts/literag-meta.py
  • warning missing-ref reference to a missing file: scripts/lq
  • warning missing-ref reference to a missing file: scripts/literag-benchmark.py
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: scripts/literag-query.py, scripts/literag-index.py, scripts/literag-status.py
  • 0Tools and files. 6 referenced file(s) missing: scripts/literag-query.py, scripts/literag-index.py, scripts/literag-status.py
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Failures and branches. 2 branches
  • 85Steps. 53 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1126 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (5 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -32 of 9 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 739: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 53 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
LiteRAG is a coherent documentation indexing and search skill; the main caution is that vector mode sends document chunks and queries to the configured embedding endpoint.
LLM: benign (high) · VirusTotal: · 29 May 2026