BD grill-gate
Runtime-level grill enforcement plugin. Blocks exec/spawn calls for research/development tasks unless a valid grill token exists. Ensures agents think before they act.
Runtime-level grill enforcement plugin.
As a process D 47/100 · 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:21High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…YJg+xp+LPXV…GQe/ylDS…Jxg==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:167High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…bgT+a6FmCUdOW+HaIO…nxA==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:182High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…Lcx+hqB0…GbW+m++MqA6r7eOzq/8FLx…38h/SVTk2qzw==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:219High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…xzE+0m1V…42A==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:234High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…cKX+fr+AOC+o8K7ZvS+wqX0…S4w==",
detector
Files scanned: 9. 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 47/100
- 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
- 75Steps. 3 steps
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 695 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
- +1No license
- +2Single-language instructions
- +3Description length 167: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 3 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: clean
This skill does what it says: it installs an OpenClaw runtime gate that can block selected agent tool calls until a local review token is present.
LLM: benign (medium) · VirusTotal: · 5 Jun 2026