AF html-collab
Use this skill for any HTML document that will go through LLM–human review cycles. Trigger when: the user asks to write, draft, or generate a document for review or feedback; the user provides a .html file containing annotations or a collab-data block; the user types /html-collab, /html-collab on, or /html-collab off; a .html file contains an AI Bootstrap comment pointing to this skill. When the user asks to "write a doc" or "draft something for review" without specifying a format, default to html-collab format — don't wait to be asked. /html-collab off triggers this skill too, but outputs clean presentation HTML instead.
Use this skill for any HTML document that will go through LLM–human review cycles.
As a process F 43/100 · Will not run — References files that are not bundled: examples/example.html
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: examples/example.html
Process rating: all ten parameters 43/100
- 0Tools and files. 1 referenced file(s) missing: examples/example.html
- 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
- 85Steps. 49 steps, 2 vague phrases
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1828 tokens
- 100Running it twice. Mutating operations check current state
- low The response is described with custom markup (9 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
- +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
- +5Description quotes 2 example trigger phrases
- +3Description length 629: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 49 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.