AB personwise-developer-quickstart
Use when the user asks for Developer Quickstart from supplied source materials. Trigger language: developer quickstart; API tutorial; SDK tutorial; first successful API call. Produce a grounded interactive digital-human course learners can interrupt with voice questions. Do not invent unsupported facts or claim external certification, competence, or real-world completion. With explicit approval, this Skill may install or update the official PersonWise CLI and uses browser OAuth. Other course-creation requests are handled only when the user explicitly asks for them with this Skill.
Trigger language: developer quickstart; API tutorial; SDK tutorial; first successful API call.
As a process B 70/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice
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 skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.
Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.
How to improve
- 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 Broad scope
meta-broad-allowed-toolsSKILL.md:1Broad tool permissions pre-approved: Bashallowed-tools: Bash
-
low Obfuscation
obf-base64-blobassets/service-descriptor.signed.json:3Long base64-looking blob (quoted — discussed, not commanded)"payload": "ewog…i8v
quoted -
low Obfuscation
obf-base64-blobassets/service-descriptor.signed.json:8Long base64-looking blob (detector / deny-list definition)"value": "untrusted comment: signature from PersonWise CLI offline release root\nRWQ…77A+MVPd…gAI=\ntrusted comment:
detector -
low Secrets in code
secret-high-entropy-tokenassets/service-descriptor.signed.json:8High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"value": "untrusted comment: signature from PersonWise CLI offline release root\nRWQ…77A+MVPd…gAI=\ntrusted comment:
quoted
Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "permissions"
Process rating: all ten parameters 70/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 17 mutating operations with no state check
- 70Execution cost. Instruction body is 4544 tokens
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 27 steps
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 8 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- 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
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 587: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 27 items
- +4Has examples (8 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.