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agent-ops-state

Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.

77

Quality

72%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./core/agent-ops-state/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Discovery

75%

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 effectively communicates when to use the skill with clear temporal triggers and identifies a distinct niche around .agent state file management. However, the specific capabilities could be more concrete (what does 'maintain' entail beyond read/update?), and the trigger terms are internal/technical rather than matching natural user language. The description is functional but could benefit from more concrete action verbs and user-facing terminology.

Suggestions

Replace vague 'maintain' with more concrete actions like 'create, read, update, and persist .agent state files' to improve specificity.

Add natural trigger terms users might say, such as 'session state', 'agent memory', 'persist context', or 'track progress' to improve discoverability.

DimensionReasoningScore

Specificity

Names the domain (.agent state files) and lists some actions (read/update constitution/memory/focus/issues/baseline), but the actions are more like categories than concrete operations. 'Maintain' and 'read/update' are somewhat generic verbs.

2 / 3

Completeness

Clearly answers both what ('Maintain .agent state files' with read/update of constitution/memory/focus/issues/baseline) and when ('at session start, after meaningful steps, and before concluding'). The when clause is explicit with specific timing triggers.

3 / 3

Trigger Term Quality

Includes some relevant terms like '.agent state files', 'constitution', 'memory', 'focus', 'issues', 'baseline', but these are fairly technical/internal terms. Missing natural user-facing trigger terms—users are unlikely to say 'maintain .agent state files' directly.

2 / 3

Distinctiveness Conflict Risk

The '.agent state files' concept with specific sub-components (constitution/memory/focus/issues/baseline) creates a very distinct niche. Unlikely to conflict with other skills due to the highly specific domain.

3 / 3

Total

10

/

12

Passed

Implementation

70%

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

This is a well-structured operational skill with clear workflows and good progressive disclosure. Its main weaknesses are moderate verbosity from presenting both file-based and CLI approaches side by side, and a lack of concrete inline examples showing what actual state file content looks like. The dependency validation workflow and ordered reading sequence are strong points.

Suggestions

Add a brief inline example of what a focus.md update looks like (actual content, not just field names) to improve actionability.

Remove or significantly condense the git status section — Claude knows these commands — and consider merging the file-based and CLI tables into a single table with two columns to reduce redundancy.

DimensionReasoningScore

Conciseness

The skill is reasonably efficient but includes some redundancy — the file-based operations table and CLI operations table overlap conceptually, and the git status section provides basic commands Claude already knows. The dual presentation (file-based + CLI) adds bulk.

2 / 3

Actionability

Provides concrete file paths, field names, and CLI commands, but lacks executable examples of actual file content or edits. The dependency validation steps are clear but the issue format template is referenced rather than shown inline, and there's no example of what a focus.md update actually looks like.

2 / 3

Workflow Clarity

The session start workflow is clearly sequenced with numbered steps, the required reads are explicitly ordered with context optimization guidance, and the dependency validation includes a clear feedback loop (check → block if unmet → only proceed when satisfied). The 'When to Use' section provides clear trigger points.

3 / 3

Progressive Disclosure

Content is well-structured with clear sections, the reading order uses context optimization (read index first, then only relevant priority files), and templates are appropriately referenced as external files rather than inlined. References are one level deep and clearly signaled.

3 / 3

Total

10

/

12

Passed

Validation

90%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

10

/

11

Passed

Repository
majiayu000/claude-skill-registry-data
Reviewed

Table of Contents

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