Borrowing it
Nothing to install: this file belongs to Parslee-ai/neo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Parslee-ai/neo/main/.claude/commands/chore-autonomous.mdgit clone --depth 1 https://github.com/Parslee-ai/neoWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/parslee-ai/neo/chore-autonomous)<a href="https://agentmods.dev/commands/parslee-ai/neo/chore-autonomous"><img src="https://agentmods.dev/badge/commands/parslee-ai/neo/chore-autonomous/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/parslee-ai/neo/chore-autonomous"><img src="https://agentmods.dev/badge/commands/parslee-ai/neo/chore-autonomous.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00022 | $0.01099 |
| Opus 5 | $0.00011 | $0.00549 |
| Sonnet 5 | $0.00004 | $0.00220 |
| Haiku 4.5 | $0.00002 | $0.00110 |
Grade A, and why
chore-autonomous scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autonomous Chore Planning & Implementation
Generate a chore plan using multi-agent research, then implement with full validation loop.
Instructions
- You're autonomously planning and executing a chore using Phase 0 research
- Phase 0: Use 2 agents to research and generate O1-O4 options
- CRITICAL: Phase 0 MUST output explicit Test Specification if code is modified
- After planning, automatically proceed to /implement with the generated plan
Chore
$ARGUMENTS
Phase 0: PreflightExplain
Step 0.1: Parse Chore
- Extract chore description from $ARGUMENTS
- Classify type (dependency update, refactor, cleanup, config change, docs)
- Define acceptance criteria (chore is complete when...)
Step 0.2: Codebase Research
- INVOKE Task tool:
- subagent_type: "codebase-researcher"
- description: "Research codebase for chore context"
- prompt: "Research the codebase for chore: {chore_description}. Identify: (1) Files that need modification, (2) Existing tests that may be affected, (3) Dependencies and side effects, (4) Configuration files involved. Provide structured report with file paths and line numbers."
Step 0.3: Generate Implementation Options
- INVOKE Task tool:
- subagent_type: "linus-kernel-planner"
- description: "Generate O1-O4 implementation options"
- prompt: "Create chore implementation plan for: {chore_description}. Generate exactly 4 options (O1-O4), each with: approach overview, files to modify, complexity assessment (lines changed, risk level), risks and edge cases. Include: (1) Task Assessment, (2) Rejected Approaches (over-engineered solutions), (3) Four Implementation Options with tradeoffs, (4) Recommended Solution (simplest), (5) What NOT to Do. Keep it simple - prefer minimal changes."
Step 0.4: Synthesize Plan with Test Specification
- Compile results from all agents
- Choose simplest option (usually O1 or O2)
- Produce ChorePlan with REQUIRED sections:
# Chore: [chore name from chosen option]
## Chore Description
[from Step 0.1 and 0.3]
## Test Specification
If this chore modifies code behavior, REQUIRED: Explicitly define testing.
**Skip this section if:** Chore only affects docs, configs, or non-code files.
### New/Updated Tests (Validate Changes)
[If chore modifies code, specify:]
- **File**: [from codebase research - existing test file or new]
- **Function**: test_[chore_aspect]()
- **Purpose**: Validates chore changes work correctly
- **Changes**: [if updating existing test, describe changes]
Example:
- **File**: tests/test_integration.py
- **Function**: test_embedding_model_compatibility()
- **Purpose**: Validates upgrade to fastembed 0.4.0 works
- **Changes**: Update assertion for new embedding dimensions
### Existing Tests (Regression Prevention)
[From Step 0.2 codebase research:]
- **File**: [existing test file]
- **Function**: [test name] (line number)
- **Purpose**: Ensures [related functionality] still works
Example:
- **File**: tests/test_memory.py
- **Function**: test_memory_store_operations() (line 45)
- **Purpose**: Ensures memory operations unaffected by dependency update
### Full Regression Suite
```bash
pytest
make lint
Relevant Files
[From Step 0.2 and chosen option]
Step by Step Tasks
[From chosen option implementation steps]
If chore modifies code, REQUIRED: Include test step BEFORE validation:
Step N: Write/Update Tests
- Create/modify test files per Test Specification section
- Write test functions with exact names from Test Specification
- Implement setup, assertions, and mocks as specified
- Verify test file appears in git diff
Step N+1: Run Validation Commands
[From Test Specification regression suite]
Validation Commands
Execute every command to validate the chore is complete with zero regressions.
pytest -v
make lint
make format
Notes
[From Step 0.2, 0.3 - any gotchas or context]
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 127 lines · 22 tokens per session scan A 74dc5c081714
chore-autonomous is a command published in the GitHub repository Parslee-ai/neo (16 stars, last pushed yesterday), licensed Apache-2.0. It adds 22 tokens to every session and 1,099 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.