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Evaluate Web Deliverable

Read the actual skill instructions, usage conditions, and source definitions.

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--- name: evaluate-web-deliverable description: Evaluate research sites, system demos, and agentic web demos against the exact objective, audience, functions, effects, and profile recorded in a Knowledge Distill task contract. Use for feedback iterations or controlled baseline-versus-candidate comparisons. ---

Evaluate Web Deliverable

Evaluate the selected artifact, not an abstract idea of a good website. The task contract is authoritative: the objective, audience, required claims, functions, observable effects, and assigned profile define success.

Freeze comparability

Before a baseline/candidate comparison, freeze:

  • input dataset and source revision;
  • deliverable entry and evaluation rules;
  • evaluation profile version;
  • model and tool conditions;
  • token, time, and retry budgets.

Reject a comparison when these differ. Evaluate each deliverable separately even when one task produces several files.

Select the assigned profile

Read only the matching profile in references/profiles.md. Profile definitions and weights are machine-readable in references/profiles.json.

Run three evaluation layers

  • Deterministic preflight — structure, required content, unique IDs, accessibility hooks, responsive metadata, and contract bindings.
  • Behavioral observation — operate every requested function and record whether its promised effect is deliberately and visibly produced. Use a browser when behavior cannot be proven statically.
  • Quality judgment — score only the dimensions in the assigned profile, citing visible artifact or source evidence for each score.

Use references/judgment-schema.json for behavioral observations and quality scores. A result without behavioral observations and evidence-backed rubric scores is provisional and cannot promote a skill.

Automate scoring

python3 skills/evaluate-web-deliverable/scripts/evaluate_web.py audit \
  --contract task-config.resolved.json \
  --deliverable <deliverable-id> \
  --artifact path/to/output.html \
  --judgment path/to/judgment.json \
  --write evaluation.json

Compare two completed evaluations:

python3 skills/evaluate-web-deliverable/scripts/evaluate_web.py compare baseline.json candidate.json

The candidate wins only if both evaluations share a contract fingerprint and profile, all hard gates pass, and its total score is higher. User feedback can inform the next iteration, but changing rules creates a new contract revision rather than rewriting the previous result.

Source & reuse information

No additional reuse license granted by this catalogue. Consult the source or request permission.

Source: skills/evaluate-web-deliverable/SKILL.md

Asset ID: skill-evaluate-web-deliverable

Content fingerprint: 31c7a9df95d823a77c810c64430b0f021e81910d2161d02903764add25f21b94

The fingerprint records source identity, not the date of publication or independent verification of its claims.

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About Kent & experience

I work across AI systems, research, and engineering. Autumn Memo began during my research exchange in Randall Davis’s MIT-CSAIL lab in 2016.

Explore agent workflow design, evaluation research, and product engineering through the artifacts below, alongside personal stories and illustrated notes.