DC among-traitors-game
(no description)
As a process C 60/100 · Has gaps — weak spots: result and completion, when it triggers, execution cost
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".
If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.
How to improve
- Add a description to the frontmatter: without it the skill never triggers.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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 · 4
✓ No critical or high findings
Medium and low: 4
-
medium Exfiltration
net-credential-useSKILL.md:94Credential used in a network call (verify the destination is the intended service)RESULT=$(curl -s "$BASE/birth/agent/status?token=$API_TOKEN")
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low Secrets in code
secret-high-entropy-tokenSKILL.md:679High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"diamond": "0x5F…7B9",
quoted -
low Secrets in code
secret-high-entropy-tokenSKILL.md:740High-entropy token-like string (may be an id, hash or a credential)mainnet: 0x83…913
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low Secrets in code
secret-high-entropy-tokenSKILL.md:741High-entropy token-like string (may be an id, hash or a credential)sepolia: 0x03…F7e
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
name-missingSKILL.md: frontmatter has no `name` - error
description-missingSKILL.md: no `description` — the skill can never trigger - warning
body-longSKILL.md body ≈ 11566 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "secrets" - note
frontmatter-keyunknown frontmatter key "permissions"
Process rating: all ten parameters 60/100
- 0Result and completion. Does not say what the result is
- 0When it triggers. No condition that starts the skill
- 40Execution cost. Instruction body is 11566 tokens: crowds the task out of the window
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 96 steps
- 100Failures and branches. 19 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 14 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (3 tags): a typed call is more reliable
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)
- +3Description length 0: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -232 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 71 headings
- +3Step-by-step instructions: 96 items
- +4Has examples (50 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.