System Prompts Leaks is a collection of captured system instructions used to guide AI chatbots and coding agents before they receive user messages. It serves researchers and developers studying how different AI assistants are directed.
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 skills add asgeirtj/system_prompts_leaks --skill run-skill-generatorgit clone --depth 1 https://github.com/asgeirtj/system_prompts_leaksWrote 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/asgeirtj/system_prompts_leaks/run-skill-generator)<a href="https://agentmods.dev/skills/asgeirtj/system_prompts_leaks/run-skill-generator"><img src="https://agentmods.dev/badge/skills/asgeirtj/system_prompts_leaks/run-skill-generator/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/asgeirtj/system_prompts_leaks/run-skill-generator"><img src="https://agentmods.dev/badge/skills/asgeirtj/system_prompts_leaks/run-skill-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Agent Snooping · line 125 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
- high Rogue Agent · line 232 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- medium Agent Snooping · line 95 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00065 | $0.04240 |
| Opus 5 | $0.00032 | $0.02120 |
| Sonnet 5 | $0.00013 | $0.00848 |
| Haiku 4.5 | $0.00006 | $0.00424 |
Grade A, and why
run-skill-generator 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 12d 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- run-skill-generator — 95% identical, 137 lines differ
- run-skill-generator — 94% identical, 137 lines differ
- run-skill-generator — 94% identical, 137 lines differ
How it starts
The opening of the file, as written. The whole thing — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Your job is to produce a skill at <unit>/.claude/skills/run-<unit-name>/
that lets a future agent build, launch, and drive this project from
a clean machine.
The skill has two parts that live together:
<unit>/.claude/skills/run-<unit-name>/
SKILL.md <- agent-facing instructions - SHORT. Points at the driver.
driver.mjs <- (or driver.py, smoke.sh, ... - or none: web apps use
chromium-cli off-the-shelf, and the heredoc in
SKILL.md is the script)
That almost always means writing code, not just prose. If the app
has any interactive surface (GUI, TUI, long-running server, REPL), the
future agent needs a programmatic way to poke it. A markdown file by
itself cannot click a button - but sometimes the button-clicker
already exists: for web apps it's chromium-cli, for servers it's
curl. You build (or script) that harness now, commit it alongside
the skill, and the SKILL.md documents how to use it.
Definition of done
You are done when all of these are true:
- You launched the app in this container and interacted with it - not its test suite, the actual running app. For anything with a GUI, that means you have a screenshot file on disk that you took.
- The interaction harness is committed next to the skill. A driver
script, a REPL wrapper, a smoke test, or the
chromium-cliheredoc inline inSKILL.md- whatever you used to drive the app in step 1. (Graduated intoscripts//e2e/? - fine, point at it. Web app withchromium-clioff-the-shelf? - the inline script is the harness; no separate file.) - The
SKILL.mddocuments the harness as the primary agent path - the section a future agent reads first is "run this driver / pipe these commands tochromium-cli," not "runnpm startand a window opens." - Every code block in
SKILL.mdis a command you ran that worked. This session. This container. Not from the README, not inferred.
If you're about to write the skill and you don't have (1), stop. You are about to paraphrase existing docs. That document already exists - it's called the README, and the whole reason you're here is that it wasn't enough.
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 345 lines · 65 tokens per session scan A 6468774e6a0c
run-skill-generator is a skill published in the GitHub repository asgeirtj/system_prompts_leaks (64,614 stars, last pushed yesterday), licensed CC0-1.0. It adds 65 tokens to every session and 4,240 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 2026-08-30.
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