- name
- karpathy-guidelines
- standard_type
- auxiliary_policy
- description
- Auxiliary foundation guideline for engineering discipline. Use only as a supporting quality checklist when another Skill or coding task is already selected and the work involves implementation, review, refactoring, or verification. It is not a business-task entry point and must not independently handle Web/H5 reverse engineering, challenge, WAF, model training, API delivery, or site-specific workflows.
- license
- MIT
- platforms
- ["cross-platform"]
- category
- guideline
- version
- 0.1.1
- trigger
- engineering discipline, surgical changes, verification checklist, code review
# Karpathy Guidelines
Behavioral guidelines to reduce common LLM coding mistakes, derived from [Andrej Karpathy's observations](https://x.com/karpathy/status/2015883857489522876) on LLM coding pitfalls.
**Tradeoff:** These guidelines bias toward caution over speed. For trivial tasks, use judgment.
## Role
This is a foundation guideline, not a business Skill. It should be loaded by another Skill or by the agent when coding/review/refactor work begins. It does not decide product routing, reverse-engineering scope, challenge handling, WAF diagnostics, model training, or delivery ownership.
## When To Use
- A selected Skill is about to change files, implement code, review code, or define verification.
- A task needs assumptions, scope, success criteria, and minimal-change discipline.
- A reviewer needs to check whether changes are surgical and test-backed.
## Do NOT Trigger When
- The user asks for Web/H5 reverse engineering, API delivery, challenge, WAF, fingerprint diagnostics, or Skill scoring as the main task.
- The user asks for a domain workflow that has a dedicated Skill.
- The request is a simple factual answer with no implementation or review work.
## Preconditions
Before applying this guideline, identify the primary task owner Skill or the concrete file/code objective. If no primary task exists, ask for clarification or answer directly without treating this guideline as the entry point.
## How Other Skills Use This
Execution Skills should read this file before implementation and then apply it as a checklist:
- state assumptions and scope;
- keep edits tied to the request;
- choose the smallest correct change;
- define the command or inspection that verifies success;
- report skipped checks honestly.
## 1. Think Before Coding
**Don't assume. Don't hide confusion. Surface tradeoffs.**
Before implementing:
- State your assumptions explicitly. If uncertain, ask.
- If multiple interpretations exist, present them - don't pick silently.
- If a simpler approach exists, say so. Push back when warranted.
- If something is unclear, stop. Name what's confusing. Ask.
## 2. Simplicity First
**Minimum code that solves the problem. Nothing speculative.**
- No features beyond what was asked.
- No abstractions for single-use code.
- No "flexibility" or "configurability" that wasn't requested.
- No error handling for impossible scenarios.
- If you write 200 lines and it could be 50, rewrite it.
Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.
## 3. Surgical Changes
**Touch only what you must. Clean up only your own mess.**
When editing existing code:
- Don't "improve" adjacent code, comments, or formatting.
- Don't refactor things that aren't broken.
- Match existing style, even if you'd do it differently.
- If you notice unrelated dead code, mention it - don't delete it.
When your changes create orphans:
- Remove imports/variables/functions that YOUR changes made unused.
- Don't remove pre-existing dead code unless asked.
The test: Every changed line should trace directly to the user's request.
## 4. Goal-Driven Execution
**Define success criteria. Loop until verified.**
Transform tasks into verifiable goals:
- "Add validation" → "Write tests for invalid inputs, then make them pass"
- "Fix the bug" → "Write a test that reproduces it, then make it pass"
- "Refactor X" → "Ensure tests pass before and after"
For multi-step tasks, state a brief plan:
```
1. [Step] → verify: [check]
2. [Step] → verify: [check]
3. [Step] → verify: [check]
```
Strong success criteria let you loop independently. Weak criteria ("make it work") require constant clarification.
## Failure Handling
- If scope is unclear, stop before editing and clarify the ambiguity.
- If verification cannot run, report the intended command, why it could not run, and the remaining risk.
- If a change grows beyond the requested scope, split the work or ask before continuing.
- If existing user changes are present, work around them and do not revert them unless explicitly asked.
## Regression Verification
After applying this guideline to a change, verify with the smallest relevant check: unit test, lint/typecheck, targeted script, build, runtime smoke test, or structure-only inspection when execution is not possible. The final report must distinguish verified, skipped, and unverified items.
## Safety Boundary
This guideline does not authorize destructive commands, credential changes, production configuration changes, policy-evasion work, or irreversible actions. Follow the repository and task-specific safety rules first, then use this document for engineering discipline.
## Change Log
- 2026-07-08: Kept as auxiliary_policy during skill entry dedupe; added references and eval coverage.
## Workflow
1. Confirm the caller skill and authorized scope before use.
2. Execute only the atomic/internal task owned by this skill.
3. Return evidence to the caller skill for final routing and delivery.
## Success Criteria
- The task output is reproducible from the recorded input.
- The caller skill can validate or reject the result without this tool becoming a business entry.
## Boundaries
This guideline remains auxiliary_policy and never owns Web/H5, WAF, delivery, scoring, or site routing.
## Governance
Changes require route-boundary validation, eval coverage, and score gate replay.
## Routing Handoff
Use `website-314-api-delivery`, `reverse-js-crawler`, `web-h5-loop-engineering`, or the selected owner skill as the orchestrator. This guideline is not responsible for public entry routing, WAF diagnostics, scoring ownership, or delivery claims.
## Drift And Evidence Writeback
Drift checks cover engineering-rule changes, review rubric changes, and verification expectations. Site memory handoff is not owned here; known failures are guideline misuse, broad refactors, and missing checks.
Ver en GitHub