SKILLEMALL.ai

BC rice-tracker

大米采购管理系统 v2.0。记录每个客户的分批进货、消耗追踪、欠款追踪与对账管理。 支持分批进货、欠款追踪、对公/对私转账、月底对账提醒。 适用于:大米卖家追踪客户库存与应收款、团购组织者管理库存、家庭食材管理。 Keywords: 大米, 库存管理, 采购提醒, 欠款追踪, 对账管理, 分批进货

ClawHub Agent Skills author: SwiftUIs v1.0.3 MIT-0 9 files · 2 scripts body ≈ 577 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureProcurementInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
98
Quality 40%
64
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Dangerous commands cmd-background-process scripts/start.sh:33
    Starts a background / autostarted process
    nohup python3 app.py > app.log 2>&1 &
  • low Dangerous commands cmd-background-process scripts/start.sh:40
    Starts a background / autostarted process
    nohup gunicorn --bind $HOST:$PORT --workers 2 --threads 4 app:app > app.log 2>&1 &

Files scanned: 9. 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")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 53/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 28 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 577 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)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • -219 emoji in the instructions: noise for the model
  • -34 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 149: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
This looks like a real rice inventory and receivables tracker, but it can expose customer and payment records on the local network without login protection.
LLM: suspicious (high) · VirusTotal: · 29 May 2026