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tree-of-thoughts

Execute tasks through systematic exploration, pruning, and expansion using Tree of Thoughts methodology with meta-judge evaluation specifications and multi-agent evaluation

Quality

73%

Does it follow best practices?

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SecuritybySnyk

Passed

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Fix and improve this skill with Tessl

tessl review fix ./plugins/sadd/skills/tree-of-thoughts/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

77%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 exceptionally actionable and the multi-phase workflow is clearly sequenced with validation and feedback loops, but it is a monolithic 943-line document that inlines content which should live in separate reference files.

Suggestions

Extract the per-phase prompt templates into reference files (e.g., references/prompts/exploration.md) and signal them one level deep from SKILL.md to improve progressive disclosure.

Move the full worked API example to a separate examples file, keeping only a brief pointer inline.

De-duplicate the repeated 'CRITICAL' guardrails and boilerplate 'Let's approach this systematically' intros across templates to reduce token load.

DimensionReasoningScore

Conciseness

The ~943-line body is mostly actionable templates rather than concept explanation, but it includes redundant CRITICAL notes, boilerplate intros repeated per template, and a long worked example that could be tightened.

3 / 5

Actionability

Every phase ships copy-paste-ready prompt templates with {placeholders}, concrete Task-tool dispatch blocks (model, subagent_type), exact file-naming conventions, and a fully worked API example.

5 / 5

Workflow Clarity

Eight phases are explicitly sequenced with hard wait-checkpoints ('Wait for BOTH Phase 1 AND Phase 1.5'), judge-based validation, and a REDESIGN feedback loop with escalation after two failures.

5 / 5

Progressive Disclosure

Section headers are clear, but no bundle files exist and all long prompt templates plus the worked example are inlined in one 943-line file rather than split into one-level-deep references.

3 / 5

Total

16

/

20

Passed

Description

58%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 clearly states what the skill does and names a distinct methodology, but it omits any explicit 'when to use' trigger guidance and leans on technical jargon over natural user phrases.

Suggestions

Add an explicit 'Use when...' clause stating when Claude should invoke this skill (e.g., complex tasks needing multi-path exploration before committing to an implementation).

Replace or supplement jargon like 'meta-judge evaluation specifications' with natural trigger terms users would actually say.

Tighten the run-on description into a crisp what + when structure as shown in the rubric's good examples.

DimensionReasoningScore

Specificity

Lists several concrete actions ('systematic exploration, pruning, and expansion') plus evaluation mechanics, though 'meta-judge evaluation specifications' leans methodological/jargon rather than fully concrete.

4 / 5

Completeness

The 'what' is clearly stated, but there is no 'Use when...' clause or equivalent trigger guidance, so completeness is capped at 3 per the rubric.

3 / 5

Trigger Term Quality

'Tree of Thoughts' and 'exploration/pruning' are relevant keywords a user might say, but 'meta-judge evaluation specifications' and 'multi-agent evaluation' are technical jargon, and common natural synonyms are missing.

3 / 5

Distinctiveness Conflict Risk

'Tree of Thoughts methodology' names a specific niche with distinct triggers and low conflict risk, with only minor overlap against other reasoning/exploration skills.

4 / 5

Total

14

/

20

Passed

Validation

87%

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

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (943 lines); consider splitting into references/ and linking

Warning

frontmatter_unknown_keys

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

Warning

Total

14

/

16

Passed

Repository

NeoLabHQ/context-engineering-kit

Path

plugins/sadd/skills/tree-of-thoughts/SKILL.md

Reviewed

Table of Contents

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