BF nl-to-graph-query-translator
Translate natural language questions into Cypher or SPARQL queries for graph databases and knowledge graphs.
Translate natural language questions into Cypher or SPARQL queries for graph databases and knowledge graphs.
As a process F 33/100 · Will not run — References files that are not bundled: ../graph-query-debugging-tool/SKILL.md, ../graph-query-optimization-assistant/SKILL.md, ../graph-template-query-generator/SKILL.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 16. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: ../graph-query-debugging-tool/SKILL.md - warning
missing-refreference to a missing file: ../graph-query-optimization-assistant/SKILL.md - warning
missing-refreference to a missing file: ../graph-template-query-generator/SKILL.md - warning
missing-refreference to a missing file: ../multi-hop-reasoning-query-builder/SKILL.md - note
frontmatter-keyunknown frontmatter key "status"
Process rating: all ten parameters 33/100
- 0Tools and files. 4 referenced file(s) missing: ../graph-query-debugging-tool/SKILL.md, ../graph-query-optimization-assistant/SKILL.md, ../graph-template-query-generator/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
- 85Steps. 31 steps, 1 vague phrases
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1020 tokens
- 100Running it twice. No mutating operations
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)
- +3Description length 108: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -220 emoji in the instructions: noise for the model
- -32 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Structure: 16 headings
- +3Step-by-step instructions: 31 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (6 of 6)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.