BF brain-map-visualizer
Visualize how attention moves across your agent's projects. 13 named attention categories. Momentum-ready edges (recentCount/lifetimeCount). Directional flow encoding. Sorted by co-access score.
As a process F 44/100 · Will not run — References files that are not bundled: scripts/build-brain-map-projects.js
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.
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: 5. 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: scripts/build-brain-map-projects.js - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "source"
Process rating: all ten parameters 44/100
Will not run. References files that are not bundled: scripts/build-brain-map-projects.js
- 0Tools and files. 1 referenced file(s) missing: scripts/build-brain-map-projects.js
- 0Result and completion. Does not say what the result is
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 7 mutating operations with no state check
- 55Failures and branches. 1 branches
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 4315 tokens
- 85Steps. 21 steps, 1 vague phrases
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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
- +2Single-language instructions
- +3Description length 194: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 21 items
- +4Has examples (9 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.
External checks
ClawHub: suspicious
This is mostly a local journal-visualization skill, but it needs review because its parser can process and overwrite local journal-derived data during import and the API/auth/output instructions are inconsistent.
LLM: suspicious (high) · 25 Aug 2026