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dream-loop

Build stunning 3D scenes via a concept-art fidelity loop.

60

Quality

71%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./optional-skills/creative/dream-loop/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

88%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a strong, actionable process spec: a clearly sequenced 8-stage loop with concrete tool calls, a copy-paste judge prompt, explicit self-check validation, and well-defined exit criteria. Its main weakness is progressive disclosure — all content lives inline in SKILL.md with no reference files, though the structure is otherwise excellent.

DimensionReasoningScore

Conciseness

The body is detailed but mostly purposeful — concrete tool calls, a full judge prompt, and specific commands assume Claude's intelligence rather than re-explaining basics. Minor florid passages (e.g. "beautiful surfaces and materials that shaders render well", the concept-art material list) could be trimmed. Not a 5 because of those few over-explained passages, not a 3 because the bulk is efficient and earns its tokens.

4 / 5

Actionability

Provides fully concrete, executable guidance throughout — exact tool sequences (image_generate, browser_exec, new_tab/wait_for_load/capture_screenshot, vision_analyze, delegate_task), real commands (`python3 -m http.server`, ImageMagick `convert concept.png shot.png +append compare.png`), and a copy-paste-ready judge prompt with a full scoring ladder. Not a 4 because the common cases are covered with specific, runnable commands rather than vague hints.

5 / 5

Workflow Clarity

A clear 8-stage sequence with an explicit self-check validation gate before judging ("only submit if confident you've significantly improved the score"), feedback loops (re-judge after optimizing for FPS, stall detection triggering a structural change), and concrete exit criteria. Fits the anchor 'clear sequence with explicit validation steps; feedback loops for error recovery'.

5 / 5

Progressive Disclosure

Well-organized with a Quick Reference table, numbered procedure sections, Pitfalls, and Verification; the long inline judge ladder is justified because it runs every round. No bundle files exist in references/scripts/assets, and the ~50-line judge prompt could arguably live in a reference file, which keeps it from a 5. Not a 3 because structure and navigation are genuinely good, not buried.

4 / 5

Total

18

/

20

Passed

Description

53%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is concise and names a clear, distinctive niche, but it omits any explicit 'when to use' trigger guidance and leans on jargon ('concept-art fidelity loop') plus marketing language ('stunning') rather than natural user phrasing. Adding a 'Use when...' clause with concrete trigger terms would lift the capped completeness and trigger-term dimensions.

Suggestions

Append a 'Use when...' clause with natural triggers, e.g. 'Use when the user asks for a high-fidelity 3D game, scene, or WebGL/three.js visual built to AAA quality.'

Replace jargon/fluff ('concept-art fidelity loop', 'stunning') with concrete user-facing terms like '3D scene', 'game', 'WebGL', 'three.js'.

List 1-2 more concrete actions (e.g. 'generate concept art, build the scene, and iterate via a scored judge loop') to move specificity from 3 toward 4-5.

DimensionReasoningScore

Specificity

Quotes "Build stunning 3D scenes" and "via a concept-art fidelity loop" — it names the domain (3D scenes) and one concrete action (build) plus the mechanism, but is not comprehensive; fits the anchor 'names domain and 1-2 concrete actions'. Not a 4 because only one real action verb is present, not a 2 because the domain and a concrete action are clearly named.

3 / 5

Completeness

Has a clear 'what' ("Build stunning 3D scenes via a concept-art fidelity loop") but no 'Use when...' clause or equivalent explicit trigger guidance, so per the rubric guideline completeness is capped at 3. Not a 4 because 'when' is entirely missing rather than weakly implied.

3 / 5

Trigger Term Quality

"3D scenes" is a natural term, but "concept-art fidelity loop" is jargon a user would rarely say and "stunning" is marketing fluff; missing common natural variations like 'game', 'WebGL', or 'three.js' that the body actually covers. Not a 4 because several natural user phrases are absent, not a 2 because at least one relevant keyword is present.

3 / 5

Distinctiveness Conflict Risk

"3D scenes via a concept-art fidelity loop" carves a fairly distinct niche unlikely to trigger for unrelated skills, with only minor overlap risk against general 3D/modeling skills. Not a 5 because the phrasing could still overlap with broader 3D-asset skills, not a 3 because the fidelity-loop framing is genuinely specific.

4 / 5

Total

13

/

20

Passed

Validation

81%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

13

/

16

Passed

Repository
NousResearch/hermes-agent
Reviewed

Table of Contents

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