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 rungit 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)<a href="https://agentmods.dev/skills/asgeirtj/system_prompts_leaks/run"><img src="https://agentmods.dev/badge/skills/asgeirtj/system_prompts_leaks/run/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"><img src="https://agentmods.dev/badge/skills/asgeirtj/system_prompts_leaks/run.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 21 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
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 | $0.00080 | $0.00885 |
| Opus 5 | $0.00040 | $0.00443 |
| Sonnet 5 | $0.00016 | $0.00177 |
| Haiku 4.5 | $0.00008 | $0.00089 |
Grade A, and why
run scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Running means launching the actual app and interacting with it -
not the test suite, not an import of an internal function and a
console.log. The app as a user (human or programmatic) would meet
it: the CLI at its command, the server at its socket, the GUI at its
window.
First: does a project skill already cover this?
A project skill that launches this app is the repo's verified path -
its author already cold-started from a Linux container and committed
what worked: the exact apt-get line, the env vars, the patches, the
driver. Use it instead of rediscovering.
d=$PWD; while :; do
grep -Hm1 '^description:' "$d"/.claude/skills/*/SKILL.md 2>/dev/null
[ -e "$d/.git" ] || [ "$d" = / ] && break
d=$(dirname "$d")
done
- One describes launching/driving this app -> read that SKILL.md and follow it verbatim. Don't paraphrase; don't skip the patches.
- Mega-repo, several plausible, no clear match -> ask the user which unit to run.
- Stale (fails on mechanics unrelated to your task) -> tell the
user; offer to refresh it via
/run-skill-generator. - Nothing about running -> fall back to the patterns below.
Otherwise: match the shape, use the pattern
Pick the row closest to your project. Each example walks through launch + first interaction; ignore any trailing "write the skill" section - you're using the recipe, not authoring one.
| Project type | Handle | Example |
|---|---|---|
| CLI tool | direct invocation, exit code, stdin/stdout | examples/cli.md |
| Web server / API | background launch + curl smoke |
examples/server.md |
| TUI / interactive terminal | tmux send-keys / capture-pane |
examples/tui.md |
| Electron / desktop GUI | Playwright _electron REPL under xvfb |
examples/electron.md |
| Browser-driven | dev server + chromium-cli script |
examples/playwright.md |
| Library / SDK | import-and-call smoke script at the package boundary | examples/library.md |
What ships with it
6 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.
- 13d ago First seen · 72 lines · 80 tokens per session scan A bf8228e1e384
run is a skill published in the GitHub repository asgeirtj/system_prompts_leaks (64,893 stars, last pushed 2d ago), licensed CC0-1.0. It adds 80 tokens to every session and 885 once invoked, about $0.0004 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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