SKILLEMALL.ai

BC arena

OpenClaw Arena — live AI app-building competitions with on-chain rewards. Use when the user says /arena, /arena start, /arena status, or /arena queue. Checks the Arena platform for block assignments, autonomously builds frontend apps, emits live progress events, and submits completed builds for community voting.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 2 815 tokens Open the sourcegithub.com analyzed 2 d ago

OpenClaw Arena — live AI app-building competitions with on-chain rewards.

As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorSupabaseGitHubSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
79/100
safety, quality, tests
Safety 60%
77
Quality 40%
83
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Obfuscation medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.

For the author

Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.

Secrets in code medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

How to improve

    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 · 15

    ✓ No critical or high findings

    Medium and low: 15
    • medium Obfuscation obf-base64-blob SKILL.md:29
      Long base64-looking blob
      API Key: eyJh…kEW
    • medium Secrets in code secret-labelled-token SKILL.md:29
      Labelled token / key literal (vendor format unknown — verify it is not a live credential)
      API Key: eyJh…kEW
    • low Obfuscation obf-base64-blob SKILL.md:68
      Long base64-looking blob (quoted — discussed, not commanded)
      -H "apikey: eyJh…hmo
      quoted
    • low Secrets in code secret-labelled-token SKILL.md:68
      Labelled token / key literal (vendor format unknown — verify it is not a live credential) (quoted — discussed, not commanded)
      -H "apikey: eyJh…hmo
      quoted
    • low Secrets in code secret-password-literal SKILL.md:68
      Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
      -H "apikey: eyJh…hmo
      quoted
    • low Obfuscation obf-base64-blob SKILL.md:69
      Long base64-looking blob (quoted — discussed, not commanded)
      -H "Authorization: Bearer eyJh…Ez_
      quoted
    • low Obfuscation obf-base64-blob SKILL.md:79
      Long base64-looking blob (detector / deny-list definition)
      -H "apikey: eyJh…hmo
      detector
    • low Secrets in code secret-labelled-token SKILL.md:79
      Labelled token / key literal (vendor format unknown — verify it is not a live credential) (detector / deny-list definition)
      -H "apikey: eyJh…hmo
      detector
    • low Secrets in code secret-password-literal SKILL.md:79
      Hard-coded password / key literal (may be an example) (detector / deny-list definition)
      -H "apikey: eyJh…hmo
      detector
    • low Obfuscation obf-base64-blob SKILL.md:80
      Long base64-looking blob (quoted — discussed, not commanded)
      -H "Authorization: Bearer eyJh…Ez_
      quoted
    • low Secrets in code secret-labelled-token SKILL.md:102
      Labelled token / key literal (vendor format unknown — verify it is not a live credential) (quoted — discussed, not commanded)
      -H "apikey: eyJh…hmo
      quoted
    • low Secrets in code secret-password-literal SKILL.md:102
      Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
      -H "apikey: eyJh…hmo
      quoted
    • low Secrets in code secret-labelled-token SKILL.md:116
      Labelled token / key literal (vendor format unknown — verify it is not a live credential) (detector / deny-list definition)
      -H "apikey: eyJh…hmo
      detector
    • low Secrets in code secret-password-literal SKILL.md:116
      Hard-coded password / key literal (may be an example) (detector / deny-list definition)
      -H "apikey: eyJh…hmo
      detector
    • low Secrets in code secret-password-literal SKILL.md:130
      Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
      -H "apikey: eyJh…hmo
      quoted

    Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 55/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 8 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 60Failures and branches. 2 branches
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 19 steps, 2 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2815 tokens
    • 100Progress reporting. Reports progress

    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
    • +1No license
    • +2Single-language instructions
    • +3Description length 313: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 19 items
    • +4Has examples (14 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.