BD NoChat Channel Plugin
Encrypted agent-to-agent messaging channel for OpenClaw. Post-quantum E2E encryption. Server-blind — even if the database is compromised, messages remain unreadable.
Encrypted agent-to-agent messaging channel for OpenClaw.
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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 · 5
✓ No critical or high findings
Medium and low: 5
-
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:18High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha512-GZMB+a0mO…4cw+w1WV…UED+1X8a…sJi+8mgpw==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:188High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…HK5+NE/tvnRLbIqUWa+0E9N4WNMjmp/kXXP…R8w==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:409High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…78O/B3Kkh+nKABUF++bvJv…56W+C8F9…X6m+IktJnIb1Jjg==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:551High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…zN3+kuBL…KQ8+XS6hp9nY7B+ZeK0…Haw==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:565High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…j98+PZe/AXaG…EeK+Mrp9…mrw==",
detector
Files scanned: 20. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 46/100
- 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
- 40Consistency. Frontmatter name (NoChat Channel Plugin) differs from the folder (nochat-channel)
- 85Steps. 15 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 100Execution cost. Instruction body is 486 tokens
- 100Running it twice. No mutating operations
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 165: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 15 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.