Install
$ agentstack add skill-shinpr-codex-workflows-recipe-task ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Required Skills [LOAD BEFORE EXECUTION]
- [LOAD IF NOT ACTIVE]
task-analyzer— task analysis and skill selection (rule-advisor handles remaining skill selection) - [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:
- Understand Task Essence (from
metaCognitiveGuidance.taskEssence)
- Focus on fundamental purpose, not surface-level work
- Distinguish between "quick fix" vs "proper solution"
- Follow Selected Rules (from
selectedRules)
- Review each selected rule section
- Apply concrete procedures and guidelines
- Recognize Past Failures (from
metaCognitiveGuidance.pastFailures)
- Apply countermeasures for known failure patterns
- Use suggested alternative approaches
- 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.taskEssencein task descriptions - Apply
metaCognitiveGuidance.firstStepto 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.
- Author: shinpr
- Source: shinpr/codex-workflows
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.