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.
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
The same skill appears in 1 more place: ClawHub
How to improve
- 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-tokenpackage-lock.json:61High-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-literalsrc/channel.ts:219Hard-coded password / key literal (may be an example)const password = gene…ord();
-
low Secrets in code
secret-high-entropy-tokentest_inbound.mjs:537High-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-tokentest_inbound.mjs:606High-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-literaltest_plugin_e2e.mjs:33Hard-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-literaltest_plugin_e2e.mjs:40Hard-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-whendescription 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