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agent-host-chat-contributions

Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.

70

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

82%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.

An unusually dense, high-signal instruction skill: every rule is grounded in project-specific invariants, real past failures, and executable specifics. Its weaknesses are modest — some duplicated caveats and historical narrative that could be trimmed, and reference-grade material (hook table, ordering catalog) inlined in a long single file.

Suggestions

Deduplicate the onHydrateChat-before-registration caveat, which appears nearly verbatim in the hook table and again in the memento section — keep the fuller memento-section version and reference it from the table.

Consider splitting the seven-hook reference table and the ordering catalog into a reference file under a chatContributions/ docs directory, leaving SKILL.md as the decision and anatomy guide.

Trim a few historical narratives (e.g., the hook-removal history and the host-bridge seven-to-two story) to one evidence sentence each; the rule plus one concrete past failure is already persuasive.

DimensionReasoningScore

Conciseness

Nearly every token is non-derivable project knowledge (exact order values, real failure modes, traps "hit for real"), with no generic-concept padding. Minor trims exist: the onHydrateChat-before-registration caveat is stated twice (hook table and memento section), and a few historical narratives could be tightened.

4 / 5

Actionability

Fully concrete and executable for this domain: exact file paths, a complete registration code example, explicit order values per contribution, a three-question decision test, specific error strings ("d.dispose is not a function", "UNKNOWN service <id>"), and named test files for every requirement.

5 / 5

Workflow Clarity

The decision procedure ("Decide before you code"), implementation anatomy, and testing guidance follow the actual work order, with explicit validation checkpoints such as leaving the old test suite unchanged as extraction proof and updating regression tests when ordering changes. It falls short of a 5 because there is no explicit validate→fix→retry loop for the main implementation flow.

4 / 5

Progressive Disclosure

The body is standalone (no bundle files exist) with clear, well-ordered section headers and a navigable hook reference table. It does not reach 5 because at ~177 lines the hook table and ordering detail are reference material that could be split out, and the under-50-line exception does not apply.

4 / 5

Total

17

/

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.

A strong description with an explicit what and a well-formed 'Use when...' clause covering both feature work and review scenarios. Its only weakness is that the enumerated behaviors read as topic categories rather than crisp verb-object actions, and a few natural synonyms could broaden trigger coverage.

DimensionReasoningScore

Specificity

The description enumerates several specific behavior categories ("turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation") alongside "build and review" verbs. It falls just short of the 5 anchor because the enumerated items are behavior topics rather than fully formed verb-object actions.

4 / 5

Completeness

It explicitly answers both what ("Build and review cross-cutting agent-host chat behavior through lifecycle contributions") and when ("Use when adding... or when reviewing changes that add code to AgentSideEffects or AgentService") with concrete trigger phrases, matching the top anchor exactly.

5 / 5

Trigger Term Quality

Good natural-term coverage: "prompt or context injection", "restored-history transformation", "protocol-action observation", plus class-name triggers (AgentSideEffects, AgentService) a developer would literally name in a request. A few natural variations (e.g., "hooks", "contributions", "admission gating") are missing, so it does not reach comprehensive synonym coverage.

4 / 5

Distinctiveness Conflict Risk

It occupies a clear niche (agent-host chat lifecycle contributions in a specific codebase) with distinct class-name triggers, so the risk of firing for the wrong skill is minimal.

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

microsoft/vscode

Path

.github/skills/agent-host-chat-contributions/SKILL.md

Reviewed

Table of Contents

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