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BF qdrant-search-quality

Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'should I use reranking?'. Also use when search quality degrades after quantization, model change, or data growth.

github/awesome-copilot Agent Skills author: github MIT 1 file body ≈ 210 tokens Open the sourcegithub.com↗ analyzed 23 h ago

Diagnoses and improves Qdrant search relevance.

As a process F 21/100 · Will not run — References files that are not bundled: diagnosis/SKILL.md, search-strategies/SKILL.md

AnalyzerAI and agentsData and analyticstype and topics are labelled automatically from the skill text
Runs in: GitHub Copilot / VS Code Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
F
21/100
Will not run
References files that are not bundled: diagnosis/SKILL.md, search-strategies/SKILL.md
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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: diagnosis/SKILL.md
  • warning missing-ref reference to a missing file: search-strategies/SKILL.md

Process rating: all ten parameters 21/100

Will not run. References files that are not bundled: diagnosis/SKILL.md, search-strategies/SKILL.md
  • 0Tools and files. 2 referenced file(s) missing: diagnosis/SKILL.md, search-strategies/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 25Steps. 1 steps
  • 30Running it twice. 1 mutating operations with no state check
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 210 tokens

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)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 410: enough signal without eating the budget
  • +4Structure: 3 headings

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.