SKILLEMALL.ai

BC gotchi-channeling

Autonomous Aavegotchi Alchemica channeling via Bankr wallet. Daily harvesting from your Aaltar installation on your REALM parcels. No signature required - secure, automated, and frenly!

modbender/skill-library-mcp Agent Skills author: modbender MIT 12 files · 3 scripts body ≈ 2 536 tokens Open the sourcegithub.com analyzed 2 d ago

Autonomous Aavegotchi Alchemica channeling via Bankr wallet.

As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationWriting and documentsInfrastructureCustomer supporttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
79/100
safety, quality, tests
Safety 60%
86
Quality 40%
68
Run on models
none yet
Process rating
C
58/100
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 · 14

✓ No critical or high findings

Medium and low: 14
  • low Secrets in code secret-high-entropy-token CLAWHUB_SUBMISSION.md:142
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **REALM Diamond:** `0x4B…372`
    quoted
  • low Secrets in code secret-high-entropy-token config.json:2
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "realmDiamond": "0x4B…372",
    quoted
  • low Secrets in code secret-high-entropy-token DEPLOYMENT.md:67
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    ❌ **Wrong:** `0xA9…dBF` (Aavegotchi Diamond)
    quoted
  • low Secrets in code secret-high-entropy-token DEPLOYMENT.md:68
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    ✅ **Right:** `0x4B…372` (REALM Diamond)
    quoted
  • low Secrets in code secret-high-entropy-token README.md:94
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **REALM Diamond:** `0x4B…372`
    quoted
  • low Secrets in code secret-high-entropy-token references/FUNCTION_SEARCH.md:5
    High-entropy token-like string (may be an id, hash or a credential)
    - **Address:** 0xA9…dBF
  • low Secrets in code secret-high-entropy-token scripts/channel.sh:20
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    REALM_DIAMOND="0x4B…372"
    quoted
  • low Secrets in code secret-high-entropy-token scripts/check-cooldown.sh:16
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    REALM_DIAMOND="0x4B…372"
    quoted
  • low Secrets in code secret-high-entropy-token SECURITY.md:134
    High-entropy token-like string (may be an id, hash or a credential)
    cast call 0x4B…372 \
  • low Secrets in code secret-high-entropy-token SECURITY.md:146
    High-entropy token-like string (may be an id, hash or a credential)
    cast call 0xA9…dBF \
  • low Secrets in code secret-high-entropy-token SKILL.md:55
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "realmDiamond": "0x4B…372",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:74
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "realmDiamond": "0x4B…372",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:184
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **Address:** `0x4B…372`
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:414
    High-entropy token-like string (may be an id, hash or a credential)
    - **Contract:** 0x4B…372

Files scanned: 12. 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 58/100

  • 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
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 61 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2536 tokens
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 14 top-level sections: this looks like several domains in one skill

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
  • -230 emoji in the instructions: noise for the model
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 185: enough signal without eating the budget
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 61 items
  • +4Has examples (20 code blocks)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.