SKILLEMALL.ai

BC creem-store-agent

AI-powered Creem store monitor — alerts, churn analysis, autonomous actions via Telegram

ClawHub Agent Skills author: Dmitrii Malakhov v1.0.0 MIT-0 27 files body ≈ 360 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerTelegramInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
93
Quality 40%
65
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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 · 7

✓ No critical or high findings

Medium and low: 7
  • low Secrets in code secret-high-entropy-token package-lock.json:110
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…SzS+cfgl…B0A==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:196
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…iy3+wuuO…82w==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:221
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha512-ZDY+bPm5zTTF+YpCr…v4s++TNkcgVaT0g6+4R2u…Xiw==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:299
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…cAz+ivBu…Lvw==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:384
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…IxX/wd5n…MGF+pv6g…i2Z+Wnj9/KjGz…4Eg==",
    detector
  • low Exfiltration exfil-webhook-url README.md:151
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    https://your-ngrok-url.ngrok.io/webhook/creem
    placeholder
  • low Exfiltration exfil-webhook-url SKILL.md:42
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    4. Register webhook in Creem dashboard: `https://your-ngrok-url.ngrok.io/webhook/creem`
    placeholder

Files scanned: 20. 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")

Process rating: all ten parameters 56/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 11 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 360 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 88: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 11 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
This skill is coherent and not malicious, but it can automatically change Creem discounts and subscriptions based on AI decisions before a person approves them.
LLM: suspicious (high) · VirusTotal: · 29 May 2026