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intent-framed-agent

Frames coding-agent work sessions with explicit intent capture and drift monitoring. Use when a session transitions from planning/Q&A to implementation for coding tasks, refactors, feature builds, bug fixes, or other multi-step execution where scope drift is a risk.

68

Quality

83%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is intent-framed-agent in pskoett/pskoett-ai-skills

SKILL.md
Quality
Evals
Security

Quality

Content

88%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, actionable workflow skill with copy-paste templates, explicit confirmation validation, and drift feedback loops. It is lean and self-contained; the only minor gap is that the interoperability discussion is somewhat verbose and could be condensed.

DimensionReasoningScore

Conciseness

The body is mostly efficient with lean structured blocks and an explicit 'avoid long prose' guardrail, though the context-surfing interop and precedence-rule discussion could be tightened slightly.

4 / 5

Actionability

Provides copy-paste-ready structured templates (Intent Frame, Intent Check, Intent Resolution) with exact fields and phrases, plus a concrete detection command ('entire status 2>/dev/null'), covering the common cases.

5 / 5

Workflow Clarity

A clear three-phase sequence (Capture -> Monitor -> Resolution) with an explicit validation checkpoint ('Ask for confirmation before coding... Do not proceed until the user confirms') and drift feedback loops (pivot vs. return to scope).

5 / 5

Progressive Disclosure

Well-organized with clear section headers and no need for external bundle files (none exist), but all content is inline and the interop section is sizable enough that minor reorganization could help.

4 / 5

Total

18

/

20

Passed

Description

78%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 strong: it cleanly states both the capability and an explicit, concrete trigger condition with natural user-facing terms. Its only weakness is listing just two concrete actions, leaving specificity slightly below the comprehensive anchor.

DimensionReasoningScore

Specificity

Names the domain (coding-agent work sessions) and two concrete actions ('explicit intent capture and drift monitoring'), matching the 1-2 concrete actions anchor rather than the several-actions anchor.

3 / 5

Completeness

Explicitly answers both what ('Frames coding-agent work sessions with explicit intent capture and drift monitoring') and when ('Use when a session transitions from planning/Q&A to implementation for coding tasks...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Covers natural terms users would say ('refactors, feature builds, bug fixes, multi-step execution') with good keyword coverage, though a few common synonyms are missing.

4 / 5

Distinctiveness Conflict Risk

Has a clear niche (intent framing / scope-drift monitoring) with distinct triggers, but 'coding-agent work sessions' is broad enough to risk minor overlap with related coding skills.

4 / 5

Total

16

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
pskoett/pskoett-ai-skills
Reviewed

Table of Contents

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