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hindsight-docs

Complete Hindsight documentation for AI agents. Use this to learn about Hindsight architecture, APIs, configuration, and best practices.

61

Quality

72%

Does it follow best practices?

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tessl review fix ./skills/hindsight-docs/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

78%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 well-structured, lean navigation guide that uses concrete tool invocations and excellent progressive disclosure to route Claude to a real references bundle, with only minor redundancy and no destructive-operation validation needs.

DimensionReasoningScore

Conciseness

The body is lean — a directory tree, glob/grep patterns, a key-concepts list, and short notes — assuming Claude's competence, with only minor redundancy in the Notes section echoing Key Concepts.

4 / 5

Actionability

Provides concrete, copy-paste-ready tool guidance (Glob patterns, Grep pattern/path syntax, explicit Read paths), which is actionable for a navigation skill, though it lacks executable Hindsight usage code.

4 / 5

Workflow Clarity

'How to Find Documentation' is a clear 3-step sequenced workflow (Glob → Grep → Read) appropriate for read-only lookup; no validation checkpoints are needed for non-destructive lookups, leaving it just short of anchor 5.

4 / 5

Progressive Disclosure

SKILL.md is a concise overview pointing to a real, well-organized references/ tree one level deep, with an explicit directory map, a 'START HERE' pointer, and clearly signaled navigation.

5 / 5

Total

17

/

20

Passed

Description

66%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 clearly scoped to a distinct named product and answers both what and when, but its triggers are topic-oriented rather than natural user phrases and its verbs are passive consumption rather than concrete actions.

Suggestions

Replace passive 'learn about' with concrete skill verbs (e.g., 'Look up Hindsight architecture, API endpoints, and configuration options') to raise specificity.

Reframe the 'when' clause around phrases a user would actually say (e.g., 'Use when the user asks about Hindsight, its API, memory banks, or SDK integration').

Add natural synonyms and identifiers users mention (e.g., 'Hindsight API', 'Hindsight memory', 'retain/recall/reflect') to broaden trigger coverage.

DimensionReasoningScore

Specificity

Names the domain and lists several coverage areas ('architecture, APIs, configuration, and best practices'), but the verb is passive ('learn about') and these are topics rather than concrete actions like extract or merge, so it sits below the comprehensive anchor 4.

3 / 5

Completeness

Explicitly answers both what ('Complete Hindsight documentation for AI agents') and when ('Use this to learn about...'), but the trigger lists topics rather than user-utterance phrases, so it falls short of anchor 5.

4 / 5

Trigger Term Quality

Includes relevant domain keywords ('Hindsight', 'architecture', 'APIs', 'configuration') but they are technical terms a user would not naturally utter as a trigger, and synonyms and variations are missing.

3 / 5

Distinctiveness Conflict Risk

Tied to the unique proper noun 'Hindsight', giving it a clear niche with distinct triggers and minimal conflict risk with other skills.

5 / 5

Total

15

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 6 deeper-than-1-level

Warning

Total

15

/

16

Passed

Repository
vectorize-io/hindsight
Reviewed

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