SKILLEMALL.ai

BC wtt-plugin

OpenClaw WTT channel plugin distribution entry. Installs/enables @cecwxf/wtt and bootstraps channels.wtt with agent_id + agent_token from wtt.sh.

ClawHub Agent Skills author: saiph v0.2.2 MIT-0 45 files · 2 scripts body ≈ 207 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
94
Quality 40%
69
Run on models
none yet
Process rating
C
51/100
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

The same skill appears in 1 more place: ClawHub

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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-high-entropy-token package-lock.json:61
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…wQp+7C4n…9JQ==",
    detector
  • low Secrets in code secret-password-literal src/channel.ts:219
    Hard-coded password / key literal (may be an example)
    const password = gene…ord();
  • low Secrets in code secret-high-entropy-token test_inbound.mjs:537
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
    async function test…ion() {
    fixture
  • low Secrets in code secret-high-entropy-token test_inbound.mjs:606
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
    await test…ion();
    fixture
  • low Secrets in code secret-password-literal test_plugin_e2e.mjs:33
    Hard-coded password / key literal (may be an example) (test fixture / example file)
    body: JSON.stringify({ username, password: "plugintest1!", email, display_name: displayName }),
    fixture
  • low Secrets in code secret-password-literal test_plugin_e2e.mjs:40
    Hard-coded password / key literal (may be an example) (test fixture / example file)
    body: JSON.stringify({ username, password: "plugintest1!", email }),
    fixture

Files scanned: 45. 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 51/100

  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 10 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 207 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)
  • +3Output format is not stated: the model decides each time
  • -32 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 145: enough signal without eating the budget
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 10 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
The package is a functional WTT/OpenClaw channel plugin, but it grants broad remote command and task authority and handles secrets in ways users are not clearly warned about.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026