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Inspect and optionally adjust the agent's runtime state. Use to check the current model or preset, context window and runtime limits, workspace and tool configuration, subagent status, and request routing metadata such as channel, chat ID, and sender ID; diagnose unavailable capabilities; change allowed runtime settings; or store temporary session scratchpad values.

71

Quality

86%

Does it follow best practices?

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SKILL.md
Quality
Evals
Security

Quality

Content

86%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 concise, rule-driven, and well-structured with concrete tool invocations and a clean one-level reference to examples. It could push actionability and workflow clarity higher with fully realized example values and an explicit validate-retry loop.

Suggestions

Replace placeholder values like `<preset-name>` with one or two concrete preset names so examples are copy-paste ready.

Add an explicit validate-then-retry step for `set` operations (e.g., check the value back after setting) to strengthen the workflow feedback loop.

Show a minimal scratchpad read-back example inline so the cross-turn recall pattern is actionable without opening examples.md.

DimensionReasoningScore

Conciseness

Lean rule-based body with no padding and no explanation of concepts Claude already knows; every section and table earns its tokens, matching anchor 5.

5 / 5

Actionability

Provides concrete executable calls like `my(action="check", key="context_window_tokens")` with specific keys and validation ranges, but some values are placeholders (`<preset-name>`) leaving minor gaps, fitting anchor 4.

4 / 5

Workflow Clarity

Clear 'How to use' sequence with a validation checkpoint ('If set, warn the user before changing impactful settings') and guardrails via anti-patterns, but lacks an explicit validate-then-retry feedback loop, fitting anchor 4.

4 / 5

Progressive Disclosure

Concise overview body with a single well-signaled one-level reference to the verified references/examples.md, matching the clear-overview anchor 5.

5 / 5

Total

18

/

20

Passed

Description

87%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 specific, action-oriented, and clearly distinguishes the skill via its self-inspection niche. It explicitly answers both 'what' and 'when' with concrete, natural trigger phrases.

DimensionReasoningScore

Specificity

Lists several concrete actions ('check the current model or preset, context window and runtime limits', 'change allowed runtime settings', 'store temporary session scratchpad values') with only minor gaps in coverage, fitting between anchors 3 and 5.

4 / 5

Completeness

Explicitly states both what it does ('Inspect and optionally adjust the agent's runtime state') and when to use it ('Use to check... diagnose... change... or store...'), with concrete trigger phrases matching anchor 5.

5 / 5

Trigger Term Quality

Includes natural user-facing phrases ('model or preset', 'diagnose unavailable capabilities', 'channel, chat ID, and sender ID') with good coverage but a few synonyms missing, matching anchor 4 rather than the comprehensive anchor 5.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (the agent's own runtime state and self-inspection) with distinct triggers and minimal overlap risk with other skills, matching anchor 5.

5 / 5

Total

18

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
HKUDS/nanobot
Reviewed

Table of Contents

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