SKILLEMALL.ai

BF dashboard-generator

Generate self-contained HTML dashboards for memory logs, expense charts, and token usage. Run hourly via cron.

ClawHub Agent Skills author: Hobohan v1.0.0 MIT-0 3 files body ≈ 561 tokens Open the sourceclawhub.ai analyzed 25 h ago

Generate self-contained HTML dashboards for memory logs, expense charts, and token usage.

As a process F 33/100 · Will not run — References files that are not bundled: scripts/serve-dashboards.py, scripts/track-usage.py

GeneratorData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
56
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: scripts/serve-dashboards.py, scripts/track-usage.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. 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: scripts/serve-dashboards.py
  • warning missing-ref reference to a missing file: scripts/track-usage.py

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: scripts/serve-dashboards.py, scripts/track-usage.py
  • 0Tools and files. 2 referenced file(s) missing: scripts/serve-dashboards.py, scripts/track-usage.py
  • 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
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (dashboard-generator) differs from the folder (hobohan-dashboard-generator)
  • 100Steps. 17 steps
  • 100Execution cost. Instruction body is 561 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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 110: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.

External checks

ClawHub: suspicious
This skill is coherent but should be reviewed because it serves private logs and ledger data through a persistent local HTTP dashboard without clear access controls.
LLM: suspicious (high) · VirusTotal: · 3 Jun 2026