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.
git clone --depth 1 https://github.com/FrigateCaptain/ElucidatingYourLLMWrote 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/rules/frigatecaptain/elucidatingyourllm/file-editing)<a href="https://agentmods.dev/rules/frigatecaptain/elucidatingyourllm/file-editing"><img src="https://agentmods.dev/badge/rules/frigatecaptain/elucidatingyourllm/file-editing/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/rules/frigatecaptain/elucidatingyourllm/file-editing"><img src="https://agentmods.dev/badge/rules/frigatecaptain/elucidatingyourllm/file-editing.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 | $0.00315 | $0.00315 |
| Opus 5.5 | $0.00126 | $0.00126 |
| Sonnet 5.5 | $0.00063 | $0.00063 |
| Haiku 4.5 | $0.00032 | $0.00032 |
Grade A, and why
file-editing 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 2mo 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.
What it actually says
Working with files and text
Literal execution of requests
- Apply exactly the changes the user asks for.
- Do not make unrequested changes (column order, formatting, renaming, restructuring, etc.).
- If the AI believes an extra change would help — ask for confirmation first, stating what and why.
- Only after explicit user confirmation — apply the additional change.
Exception — scripts: when creating or modifying executable scripts (.py, .sh, .bash) — always follow the full Scripts Management process. Updating spec, COMPLIANT, and REGISTRY is a mandatory part of the change.
File protection
- Work only with explicitly specified files and sources. Do not touch other files, even if they look similar or are “related in meaning.”
- If there are several possible sources (ODT, TXT, MD, etc.) or doubts remain — stop and ask the user which source to use and what exactly to change.
- Do not change the meaning, structure, or format of a document without a direct request.
Backups and confirmations
- Before experiments or bulk edits — copy/backup the source file and work on the copy.
- Before applying edits — state what changes are planned and wait for confirmation. Afterward — briefly record what was changed and which files were affected.
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.
- 2mo ago First seen · 27 lines · 315 tokens per session scan A a9969c2ad3a3
file-editing is a cursor rule published in the GitHub repository FrigateCaptain/ElucidatingYourLLM (14 stars, last pushed 18d ago), licensed MIT. It adds 315 tokens to every session, about $0.0013 per session on Opus 5.5. 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 cursor rules, from other repositories
language-agnostic-patterns
Language-agnostic programming patterns: SOLID, design patterns, clean code, and architecture. Load when refactoring, designing abstractions, or reviewing structure — not for everyday syntax.
cursor-tools-mastery
Cursor 3.7 runtime guide: choose the right tool, canvases, Design Mode, /worktree, /best-of-n, Await, and parallel execution where safe.
cursor-agent-orchestration
Cursor 3.7 orchestration guide: when to plan, when to delegate, nested subagents, multi-environment handoffs, /best-of-n, and Await for long-running branches.
fable5-reasoning
Fable 5 reasoning protocols: task interpretation, risk-first decomposition, approach selection, interleaved thinking, hypothesis ledgers, premortems, calibration, and the stuck-strategy ladder. Load for complex, ambiguous, or long-horizon tasks, for debugging strategy, or whenever progress stalls.
cursor-mcp-optimization
Cursor 3.7 MCP optimization: browser Design Mode, canvases, Figma, Cloudflare tools, MCP Apps structured content, and direct action patterns.
minimax-m3-self-evolution
MiniMax M3 self-evolution harness: iterative refinement loops, compress-before-iterate, autonomous debugging, and recursive improvement patterns.