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context-self-management

F225 软层:当系统发来 context_management_hint(warn),判断该 handoff、继续/压缩、还是冲刺。 Use when: 收到 context_management_hint(warn) 系统信号;或自己感觉这一程话题漂移很大想换张干净桌子。 Not for: 没收到 warn 信号时主动焦虑 context%(你内省不准,等系统信号);把活交给别的猫(那是 cross-cat-handoff)。 Output: handoff(封印自己 spawn 干净的自己)/ 继续 / 冲刺到断点 的判断 + 必要时调 propose_session_handoff。

71

Quality

87%

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SecuritybySnyk

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SKILL.md
Quality
Evals
Security

Quality

Content

100%Weight 40%Scale 1-3

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

A tightly written decision skill that converts a system warn signal into a concrete, sequenced judgment via a self-check, a 2×2 matrix, and specific tool/checklist actions. It is actionable, well-structured, and appropriately concise for its scope.

DimensionReasoningScore

Conciseness

A lean ~28-line body where every section serves the decision; the cat-cafe idiom is the skill's domain vocabulary rather than generic concept padding, so each token earns its place.

3 / 3

Actionability

Gives a concrete tool call (cat_cafe_propose_session_handoff), a named 五件套 checklist (做完了啥/正在做啥/下一步/关键决策与坑/别碰啥), and exact signal values (compressionCount > 0, fillConfidence exact_token/approx_token/unavailable) — copy-paste ready guidance.

3 / 3

Workflow Clarity

Clear gated sequence — 三问自检 (with objective anchors acting as checkpoints) → 2×2 decision matrix → 怎么动手 action — and the self-check questions function as the validation step for this judgment skill.

3 / 3

Progressive Disclosure

Under 50 lines with no external references needed and no bundle files present; the body is cleanly sectioned (三问自检 / 2×2矩阵 / 怎么动手 / 反模式), which satisfies the simple-skill exemption for a 3.

3 / 3

Total

12

/

12

Passed

Description

75%Weight 40%Scale 1-3

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

A well-structured, explicitly bounded description that clearly states what, when, and what-not-for, but loses points for second-person voice and metaphor/jargon-laden trigger terms. Tightening voice and naturalizing triggers would raise it.

Suggestions

Rewrite in third person (e.g., "Decides whether to hand off, continue, compress, or sprint…") to remove the second-person voice penalty on specificity.

Replace metaphor-heavy triggers ("我脏了", "干净桌子") with plain terms users would naturally say (e.g., "context drifting", "should I hand off", "context getting messy").

Keep the system-signal trigger "context_management_hint(warn)" but pair it with more common-language variants so the trigger list is not dominated by jargon.

DimensionReasoningScore

Specificity

Names multiple concrete actions (handoff/继续/压缩/冲刺 judgment plus the propose_session_handoff tool call), which would anchor at 3, but the description is written in second person ("你内省不准", "你不自己封"), triggering the −1 voice penalty.

2 / 3

Completeness

Explicitly answers both what (判断 handoff/继续/压缩/冲刺) and when ("Use when: 收到 context_management_hint(warn) 系统信号…话题漂移很大"), plus a "Not for" boundary and an "Output" line.

3 / 3

Trigger Term Quality

The dominant trigger "context_management_hint(warn)" is a system signal rather than a phrase a user would naturally say, and natural entries are diluted by metaphor ("我脏了", "换张干净桌子"), so coverage is good but missing cleaner common variations.

2 / 3

Distinctiveness Conflict Risk

A narrow niche keyed to context_management_hint(warn) with an explicit disambiguation ("把活交给别的猫(那是 cross-cat-handoff)"), making conflict with other skills unlikely.

3 / 3

Total

10

/

12

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

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
zts212653/clowder-ai
Reviewed

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