BD heath-ledger
AI bookkeeping agent for Mercury bank accounts. Pulls transactions, categorizes them (rule-based + AI), and generates Excel workbooks with P&L, Balance Sheet, Cash Flow, and transaction detail. Use when the user wants to do bookkeeping, generate financial statements, categorize bank transactions, connect Mercury, or produce monthly/quarterly/annual books. Triggers on: bookkeeping, P&L, profit and loss, balance sheet, cash flow, financial statements, Mercury bank, categorize transactions, generate books, monthly close.
As a process D 49/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
- 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 · 5
✓ No critical or high findings
Medium and low: 5
-
low Secrets in code
secret-high-entropy-tokenscripts/package-lock.json:29High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…e38+6NQZ…HmC+T7k8LvA==",
detector -
low Secrets in code
secret-high-entropy-tokenscripts/package-lock.json:89High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…pjs+EVnW…hE7+ZyY8…tdA==",
detector -
low Secrets in code
secret-high-entropy-tokenscripts/package-lock.json:119High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…uyQ+a1ko…Tn4+E0Ti6C2AA==",
detector -
low Secrets in code
secret-high-entropy-tokenscripts/package-lock.json:193High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…FSj+bWLt…2sH/Kn8E…h6w==",
detector -
low Secrets in code
secret-high-entropy-tokenscripts/package-lock.json:388High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…pjs+EVnW…hE7+ZyY8…tdA==",
detector
Files scanned: 47. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 49/100
- 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
- 30Running it twice. 9 mutating operations with no state check
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 41 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1644 tokens
- low The response is described with custom markup (27 tags): a typed call is more reliable
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
- +4No input/output examples
- -316 of 27 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 523: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 41 items
- +4Reference files are cited in the instructions (1 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.