SKILLEMALL.ai

BF expense-tracker

Log daily expenses via check-in prompts; dedup, categorize, sync to local ledger and Google Sheets.

ClawHub Agent Skills author: Hobohan v1.0.0 MIT-0 3 files body ≈ 656 tokens Open the sourceclawhub.ai analyzed 2 d ago

Log daily expenses via check-in prompts; dedup, categorize, sync to local ledger and Google Sheets.

As a process F 28/100 · Will not run — References files that are not bundled: scripts/sync-ledger-to-sheet.py, scripts/gen-expense-data.py

ProcedureGoogle SheetsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
99
Quality 40%
56
Run on models
none yet
Process rating
F
28/100
Will not run
References files that are not bundled: scripts/sync-ledger-to-sheet.py, scripts/gen-expense-data.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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token SKILL.md:65
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - Sheet ID: `1Ikb…ZbU`, tab: `Sheet1`
    quoted

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/sync-ledger-to-sheet.py
  • warning missing-ref reference to a missing file: scripts/gen-expense-data.py

Process rating: all ten parameters 28/100

Will not run. References files that are not bundled: scripts/sync-ledger-to-sheet.py, scripts/gen-expense-data.py
  • 0Tools and files. 2 referenced file(s) missing: scripts/sync-ledger-to-sheet.py, scripts/gen-expense-data.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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (expense-tracker) differs from the folder (hobohan-expense-tracker)
  • 100Steps. 23 steps
  • 100Execution cost. Instruction body is 656 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)
  • +3Description length 99: 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: 10 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (1 code blocks)

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

External checks

ClawHub: suspicious
The skill is an expense tracker with clearly related behavior, but it directs private spending records and notes into persistent local files and a hard-coded Google Sheet using a service-account credential path.
LLM: suspicious (medium) · VirusTotal: · 3 Jun 2026