AB opportunity-skill
The user installs this Skill to let you (an AI agent) connect the user with the right people in the opportunity network. 1. Before any tasks that rely on user understanding (e.g., assessing the alignment between any offerings and your user's requirements), run the user representation process in this Skill. 2. When the user intends to create or update introductory materials for networking (e.g., "tailor my CV for this role", "make a pitch using my relevant past projects", "post what I'm looking for", or "improve my intro by outlining what makes me stand out"), run the profile management and impression management processes in this Skill. 3. When the user seeks employers, clients, customers, investors, candidates, freelancers, entrepreneurs, or gatherings/events of any kind, run the human discovery process in this Skill. 4. When the user intends to contact a person with a human card ID, run the human outreach process. 5. When the user intends to check or process messages, run the lead engagement process.
As a process B 73/100 · Nearly there — weak spots: result and completion, progress reporting
How to improve
- 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 · 0
✓ No critical or high findings
Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 5974 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 73/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 5974 tokens
- 85Steps. 141 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 100Failures and branches. 28 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- high The skill tells the model to perform an irreversible action with no human approval
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 1016: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +4Structure: 37 headings
- +3Step-by-step instructions: 141 items
- +4Reference files are cited in the instructions (4 of 4)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.