SKILLEMALL.ai

BF doc-scraper

Documentation extraction and indexing. Extracts information from markdown files and syncs to workspace-db. Works alongside workspace-db which handles synchronization and organization.

ClawHub Agent Skills author: Karim Kiki v1.0.0 MIT-0 3 files body ≈ 740 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 28/100 · Will not run — References files that are not bundled: ../docs/reference/DATABASE_AND_TREE_TRACKING.md

ReferenceWriting and documentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
F
28/100
Will not run
References files that are not bundled: ../docs/reference/DATABASE_AND_TREE_TRACKING.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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: ../docs/reference/DATABASE_AND_TREE_TRACKING.md

Process rating: all ten parameters 28/100

Will not run. References files that are not bundled: ../docs/reference/DATABASE_AND_TREE_TRACKING.md
  • 0Tools and files. 1 referenced file(s) missing: ../docs/reference/DATABASE_AND_TREE_TRACKING.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
  • 50Steps. 2 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 740 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)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 183: enough signal without eating the budget
  • +4Structure: 18 headings
  • +4Has examples (12 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
The skill is coherent and not malicious, but it encourages broad local documentation watching and persistent indexing without clear limits or cleanup controls.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026