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SKILL verified MIT Self-run

Recipe Task

skill-shinpr-codex-workflows-recipe-task · by shinpr

Execute tasks with metacognitive analysis and appropriate rule selection.

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Install

$ agentstack add skill-shinpr-codex-workflows-recipe-task

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Required Skills [LOAD BEFORE EXECUTION]

  1. [LOAD IF NOT ACTIVE] task-analyzer — task analysis and skill selection (rule-advisor handles remaining skill selection)
  2. [LOAD IF NOT ACTIVE] llm-friendly-context — clear prompts, handoffs, and generated artifacts

Spawn rule: every spawn_agent call uses fork_turns="none" so the subagent receives only the task message and explicitly provided context.

Task Execution with Metacognitive Analysis

Task: $ARGUMENTS

Mandatory Execution Process

Step 1: Rule Selection via rule-advisor (REQUIRED)

Spawn rule-advisor agent: "Analyze the task and select appropriate rules for: $ARGUMENTS. Provide context about current situation and prerequisites."

ENFORCEMENT: Skipping rule-advisor produces unguided execution with high failure risk.

Step 2: Utilize rule-advisor Output

After receiving rule-advisor's response, proceed with:

  1. Understand Task Essence (from metaCognitiveGuidance.taskEssence)
  • Focus on fundamental purpose, not surface-level work
  • Distinguish between "quick fix" vs "proper solution"
  1. Follow Selected Rules (from selectedRules)
  • Review each selected rule section
  • Apply concrete procedures and guidelines
  1. Recognize Past Failures (from metaCognitiveGuidance.pastFailures)
  • Apply countermeasures for known failure patterns
  • Use suggested alternative approaches
  1. Execute First Action (from metaCognitiveGuidance.firstStep)
  • Start with recommended action and rationale
  • Use suggested tools first

Step 3: Create Task List

Register work steps. Always include: first "Confirm skill constraints", final "Verify skill fidelity".

Break down the task based on rule-advisor's guidance:

  • Reflect metaCognitiveGuidance.taskEssence in task descriptions
  • Apply metaCognitiveGuidance.firstStep to first task
  • Restructure tasks considering warningPatterns
  • Set appropriate priorities

Step 4: Execute Implementation

Proceed with task execution following:

  • Selected rules from rule-advisor
  • Task structure
  • Quality standards from applicable rules

Important Notes

  • Spawn rule-advisor first: MUST complete metacognitive step before implementation
  • Update tasks after rule-advisor: MUST reflect insights in task structure
  • Follow metaCognitiveGuidance.firstStep: MUST start with the recommended action
  • Monitor warningPatterns: MUST watch for failure patterns throughout execution

Completion Criteria

  • [ ] rule-advisor spawned and output received
  • [ ] Task essence understood from metaCognitiveGuidance.taskEssence
  • [ ] Selected rules reviewed and applied
  • [ ] Past failure patterns recognized and countermeasures applied
  • [ ] Task list created with skill constraint confirmation and fidelity verification
  • [ ] Implementation executed following rule-advisor guidance
  • [ ] Warning patterns monitored throughout execution

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.