Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/hudrazine/claude-code-memory-bank/executegit clone --depth 1 https://github.com/hudrazine/claude-code-memory-bankWhat 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 | $0.00006 | $0.00766 |
| Opus 5 | $0.00003 | $0.00383 |
| Sonnet 5 | $0.00001 | $0.00153 |
| Haiku 4.5 | $0.00001 | $0.00077 |
Grade A, and why
execute 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 2d 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementation & Quality Assurance
Task
Think carefully about implementation details and execute the planned solution with focus on quality.
$ARGUMENTS
Implementation Process
Setup & Preparation
- Review the approved plan or task requirements
- Verify working on correct branch with no conflicting changes
- For complex implementations, consider using TodoWrite to track progress
Code Implementation
Follow project patterns:
- Adhere to existing coding conventions and architectural patterns
- Implement incrementally with validation between significant changes
- Use MultiEdit for cohesive multi-file modifications
- Maintain clean, readable code with appropriate error handling
Quality during development:
- Test functionality after each component is implemented
- Check for compile/syntax/type errors regularly
- Ensure edge cases are properly handled
Quality Assurance
Automated Checks
Run all relevant project quality tools:
- Code formatting and linting
- Type checking and static analysis
- Unit and integration tests
- Build verification
Manual Validation
- Test implemented features thoroughly
- Verify error messages are user-friendly
- Ensure no debug code or temporary TODOs remain
- Confirm implementation matches requirements
Completion Review
Final Checklist
- All changes follow project patterns ✓
- Quality checks pass ✓
- Implementation matches plan ✓
- No regressions introduced ✓
Summary Report
Changes: List files modified and key implementations Quality Status: Report results of all checks Next Steps: Any follow-up work or discovered improvements
Guidelines
- Prioritize correctness and quality over speed
- Ask for clarification if requirements are ambiguous
- Report any issues discovered during implementation
- Keep changes focused on the approved scope
- If blocked, document the issue clearly and suggest solutions
Feedback Loop Handling
During implementation, if you encounter:
Requirements Uncertainty
- Symptom: Unclear specifications, ambiguous edge cases, missing context
- Action: Pause implementation → Document findings →
/workflow:understandfor clarification - Example: "The API specification doesn't define error response format"
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.
- 2d ago First seen · 110 lines · 6 tokens per session scan A f8cb282dcb59
execute is a command published in the GitHub repository hudrazine/claude-code-memory-bank (40 stars, last pushed 1y ago), licensed Unlicense. It adds 6 tokens to every session and 766 once invoked, about $0.0000 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
git
Git operations with intelligent commit messages and workflow optimization.
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.