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 verifygit 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/verify)<a href="https://agentmods.dev/skills/asgeirtj/system_prompts_leaks/verify"><img src="https://agentmods.dev/badge/skills/asgeirtj/system_prompts_leaks/verify/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/verify"><img src="https://agentmods.dev/badge/skills/asgeirtj/system_prompts_leaks/verify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 findings, up to medium
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 →
- medium Agent Snooping · line 87 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.
- medium Agent Snooping · line 88 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.
- medium Agent Snooping · line 101 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.
- medium Agent Snooping · line 103 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.
- medium Agent Snooping · line 103 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 | $0.00095 | $0.02987 |
| Opus 5 | $0.00048 | $0.01494 |
| Sonnet 5 | $0.00019 | $0.00597 |
| Haiku 4.5 | $0.00010 | $0.00299 |
Grade A, and why
verify 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 11d 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 — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verification is runtime observation. You build the app, run it, drive it to where the changed code executes, and capture what you see. That capture is your evidence. Nothing else is.
Don't run tests. Don't typecheck. Running them here proves you can run CI — not that the change works. Not as a warm-up, not "just to be sure," not as a regression sweep after. The time goes to running the app instead.
Don't import-and-call. import { foo } from './src/...' then
console.log(foo(x)) is a unit test you wrote. The function did what
the function does — you knew that from reading it. The app never ran.
Whatever calls foo in the real codebase ends at a CLI, a socket, or
a window. Go there.
Find the change
The scope is what you're verifying — usually a diff, sometimes just "does X work." In a git repo, establish the full range (a branch may be many commits, or the change may still be uncommitted):
git log --oneline @{u}.. # count commits (if upstream set)
git diff @{u}.. --stat # full range, not HEAD~1
git diff origin/HEAD... --stat # no upstream: committed vs base
git diff HEAD --stat # uncommitted: working tree vs HEAD
gh pr diff # if in a PR context
State the commit count. Large diff truncating? Redirect to a file then Read it. Repo but no diff from any of these → say so, stop. No repo → the scope is whatever the user named; ask if they didn't.
The diff is ground truth. Any description is a claim about it. Read both. If they disagree, that's a finding.
Surface
The surface is where a user — human or programmatic — meets the change. That's where you observe.
| Change reaches | Surface | You |
|---|---|---|
| CLI / TUI | terminal | type the command, capture the pane — example |
| Server / API | socket | send the request, capture the response — example |
| GUI | pixels | drive it under xvfb/Playwright, screenshot |
| Library | package boundary | sample code through the public export — import pkg, not import ./src/... |
| Prompt / agent config | the agent | run the agent, capture its behavior |
| CI workflow | Actions | dispatch it, read the run |
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.
- 11d ago First seen · 269 lines · 95 tokens per session scan B 30ddf615b384
verify is a skill published in the GitHub repository asgeirtj/system_prompts_leaks (64,614 stars, last pushed yesterday), licensed CC0-1.0. It adds 95 tokens to every session and 2,987 once invoked, about $0.0005 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.
Other skills, from other repositories
dogfood
Exploratory QA of web apps: find bugs, evidence, reports.
claudex-e2e-skill
This skill should be used when the user says the exact phrase "claudex e2e skill trigger" or asks for the claudex live skill sentinel.
systematic-debugging
4-phase root cause debugging: understand bugs before fixing.
test-driven-development
TDD: enforce RED-GREEN-REFACTOR, tests before code.
screen-reader-testing
Test web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compatibility, debugging accessibility issues, or ensuring assistive technology support.
qa-test-planner
Generate comprehensive test plans, manual test cases, regression test suites, and bug reports for QA engineers. Includes Figma MCP integration for design validation.