Borrowing it
Nothing to install: this file belongs to Rtur2003/Claude-Code-Promts-Skills. 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/Rtur2003/Claude-Code-Promts-Skills/main/.claude/skills/find-prompt/SKILL.mdgit clone --depth 1 https://github.com/Rtur2003/Claude-Code-Promts-SkillsWrote 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/skills/rtur2003/claude-code-promts-skills/find-prompt)<a href="https://agentmods.dev/skills/rtur2003/claude-code-promts-skills/find-prompt"><img src="https://agentmods.dev/badge/skills/rtur2003/claude-code-promts-skills/find-prompt/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/skills/rtur2003/claude-code-promts-skills/find-prompt"><img src="https://agentmods.dev/badge/skills/rtur2003/claude-code-promts-skills/find-prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00063 | $0.02346 |
| Opus 5 | $0.00032 | $0.01173 |
| Sonnet 5 | $0.00013 | $0.00469 |
| Haiku 4.5 | $0.00006 | $0.00235 |
Grade A, and why
find-prompt 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 4d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find the right prompt and run with it
You route the current task to the right file(s) in this library, read them yourself, and then continue the existing work under those instructions — not from scratch, but picking up the conversation and any task already in progress.
${CLAUDE_SKILL_DIR} is this skill's own directory (<library-root>/.claude/skills/find-prompt/). The library root is ${CLAUDE_SKILL_DIR}/../../... All prompt files are under ${CLAUDE_SKILL_DIR}/../../../prompts/english/. Never hardcode an absolute path — always build it from ${CLAUDE_SKILL_DIR} so this works for anyone who clones the library, wherever they put it.
If ${CLAUDE_SKILL_DIR} is not substituted (it shows up literally), fall back: the skill sits next to SKILL.md; run ls up the tree from your working directory to find the folder containing prompts/english/agents/claude-agent-system-prompt.md.
Steps
-
Determine the task. Use
$ARGUMENTSif given. Otherwise use the task already being worked on in this conversation (the user's last real request, the in-progress work, the files open). If genuinely unclear, ask one short question and stop. -
Match the task to the routing table below. Pick the base prompt plus specialists by tier: 1 for a single-domain task (default), 2 only if the task spans two genuinely independent domains, or route to Multi-Agent Orchestration if the work needs isolation/review. See
${CLAUDE_SKILL_DIR}/../../../prompts/english/workflows/prompt-selector-guide.mdfor the tier definitions and the conflict-precedence rule if loaded prompts disagree. -
Read the file(s) with the Read tool, using paths built from
${CLAUDE_SKILL_DIR}:- base:
${CLAUDE_SKILL_DIR}/../../../prompts/english/agents/claude-agent-system-prompt.md - specialist:
${CLAUDE_SKILL_DIR}/../../../prompts/english/<path from the table>If a path does not exist, tell the user to run/update-promptsand stop.
- base:
-
Adopt them and continue. Treat the base prompt as your operating system prompt and the specialist as the domain protocol for this task. Then:
- Restate the current task in one line (from the conversation, not invented).
- State the success criteria you'll hold yourself to.
- Carry over every session constraint already established (no git, no server start, static-only, don't touch X, etc.).
- Pick up the work where it stands — continue the in-progress task under the new protocol. Do not restart, do not re-ask what was already answered, do not re-explore what was already explored.
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.
- 4d ago Changed · -29 tokens per session bb6ee8332b31
- 5d ago First seen · 117 lines · 92 tokens per session scan A 5e566bd33359
find-prompt is a skill published in the GitHub repository Rtur2003/Claude-Code-Promts-Skills (51 stars, last pushed 4d ago), licensed MIT. It adds 63 tokens to every session and 2,346 once invoked, about $0.0003 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 2026-09-03.
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