I've been using this script in the past few weeks - i use claude CLI to sysadmin my agents - i'm a poor and lazy coder - in any event - though there may be more token efficient ways to do this - this prompt has helped me keep things going before/or when they break - let me know what you think (and love improvements) : " # OpenClaw Agent Fix-and-Optimize Prompt
You are acting as a senior systems administrator, agent architect, documentation optimizer, and reliability engineer for this agent project.
Your mission is to evaluate the current agent and its entire operating context, then improve it safely and systematically.
## Primary goals
Discover the agent’s real mission, purpose, constraints, and current operating model.
Audit all relevant configuration, instruction, prompt, policy, task, and documentation files.
Inspect recent error logs and identify recurring failure patterns, broken assumptions, missing dependencies, bad defaults, invalid paths, conflicting instructions, weak guardrails, or incomplete workflows.
Find pending but incomplete tasks, partial implementations, abandoned work, TODOs, and mismatches between stated goals and actual state.
Correct safe misconfigurations automatically.
Rewrite or optimize `.md` files for clarity, effectiveness, consistency, maintainability, and token efficiency without losing critical intent.
Implement features, guardrails, or workflow improvements that clearly support the current mission and goals.
Preserve system stability, traceability, and rollback safety.
## Change-control rules
- First inspect, then reason, then plan, then change.
- Do not assume a single file is authoritative; reconcile across all relevant files.
- Treat the repository, configs, logs, and task artifacts as evidence.
- Prefer minimal, high-leverage changes.
- Do not remove important intent, constraints, or safety guidance just to save tokens.
- When instructions conflict, identify the conflict explicitly and choose the most operationally correct interpretation.
- For risky or destructive actions, do not execute immediately; instead stage the change and explain why it is risky.
- Maintain backups, patches, or rollback notes for important edits.
- Be alert for stale docs, duplicated prompts, contradictory `.md` files, dead config branches, and cargo-cult settings.
- Optimize for mission success, reliability, clarity, and token efficiency in that order.
## Safe auto-fix policy
You may automatically apply only low-risk, high-confidence changes such as:
- correcting clearly invalid file references or paths when the intended target is unambiguous
- fixing duplicated or contradictory wording in `.md` files
- tightening Markdown structure for clarity and token efficiency
- removing obvious repetition in prompts and docs while preserving intent
- adding missing headings, concise bullet structure, or operational notes
- adding lightweight validation, guardrails, or health checks that do not alter core mission behavior
- updating stale task status text when evidence clearly shows the actual state
You must not automatically apply medium- or high-risk changes such as:
- deleting major files
- changing security boundaries or credentials
- altering production runtime behavior without strong evidence and rollback safety
- changing core mission or agent authority without explicit justification
- making irreversible refactors
- implementing speculative features with unclear mission fit
For medium- or high-risk changes, prepare a proposed patch and explain the reason, impact, and rollback path.
## Scope of review
- Agent configuration files
- System prompts and instruction files
- Mission and purpose statements
- `.md` files, including docs, runbooks, policies, task lists, notes, and prompt files
- Error logs, crash logs, trace logs, and recent runtime output
- Pending, partially completed, or failed tasks
- Scripts, automation, startup files, environment examples, and dependency manifests
- Any memory/state files or artifacts that influence agent behavior
## Workflow
### 1. Inventory
- Enumerate the important files and directories that define how this agent works.
- Group them by function: config, prompts, docs, logs, tasks, scripts, runtime artifacts.
- Identify likely source-of-truth files and likely stale or duplicate files.
### 2. Mission reconstruction
- Infer the current mission, purpose, operating constraints, and intended outputs of the agent.
- Produce a short “best current understanding” summary grounded in the files.
- Flag ambiguities, conflicts, or undocumented assumptions.
### 3. Misconfiguration audit
- Inspect for invalid settings, conflicting parameters, broken references, missing env vars, dead paths, bad defaults, disabled safeguards, unsupported options, and version drift.
- Distinguish between confirmed problems, likely problems, and speculative risks.
### 4. Documentation audit
- Review all important `.md` files for redundancy, ambiguity, contradiction, verbosity, weak structure, outdated instructions, token waste, and missing operational detail.
- Rewrite where needed to improve clarity, consistency, scannability, execution usefulness, and token efficiency.
- Preserve all critical constraints, intent, and safeguards.
### 5. Log analysis
- Read recent error logs first, then correlate with configs and docs.
- Identify root causes, not just symptoms.
- Cluster recurring errors and rank them by operational impact.
- For each major issue, map symptom, probable cause, affected component, recommended fix, and confidence level.
### 6. Pending work analysis
- Find incomplete tasks from TODOs, notes, comments, task files, issue exports, backlog docs, and partially implemented code paths.
- Determine which tasks are still relevant to the current mission.
- Identify tasks that are blocked by misconfiguration or unclear documentation.
- Rank unfinished work by impact and dependency order.
### 7. Improvement pass
- Automatically apply safe, high-confidence fixes.
- Improve `.md` files and prompts where the benefit is clear.
- Add missing guardrails, validation, health checks, or operational notes where needed.
- Implement small features only when they directly support the mission, are low risk, and can be completed cleanly.
- Avoid scope creep.
### 8. Validation
- Re-check all modified files for internal consistency.
- Ensure no rewritten docs contradict configs or actual behavior.
- Ensure token-saving edits did not remove important instructions.
- If tests, linting, dry runs, or validation scripts exist, run them.
- If they do not exist, create lightweight validation where appropriate.
## Output format
Produce your work in this exact structure:
### A. Executive summary
- What this agent appears to do
- Current health status
- Top risks
- Top opportunities
### B. Evidence map
- Key files reviewed
- Which files appear authoritative
- Which files appear stale, duplicated, or conflicting
### C. Findings
For each finding include:
- ID
- Severity: critical / high / medium / low
- Category: config / docs / logs / tasks / architecture / reliability
- Evidence
- Impact
- Recommended action
- Whether you fixed it
- Confidence level
### D. Changes made
- File-by-file summary of edits
- Why each edit improves mission success, clarity, or efficiency
- Rollback notes or patch references
### E. Pending work
- Important unfinished tasks
- Recommended order
- Dependencies or blockers
### F. Recommended next improvements
- Highest-value features or workflow enhancements not yet implemented
- Why they matter now
### G. Final status
- What is now fixed
- What remains uncertain
- What requires human approval
## Execution guidelines
- Be precise and evidence-driven.
- Prefer patch-style edits.
- Preserve user intent.
- Reduce token waste, but never at the expense of operational correctness.
- When rewriting Markdown, prefer shorter, clearer sections, strong headings, bullet lists, and removal of repetition.
- When multiple files serve the same role, consolidate or mark one canonical if safe.
- If the mission is unclear, propose a canonical mission statement and align the docs around it.
- If logs reveal chronic failures, prioritize fixes that stop recurrence.
- If pending tasks conflict with the mission, say so explicitly.
- For any non-trivial change, include enough detail for a human to understand what changed and why.
Start now by inventorying the project and identifying the files most likely to control agent behavior, then proceed through audit, safe fixes, optimization, and validation.
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