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 artifact-diagramminggit 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/artifact-diagramming)<a href="https://agentmods.dev/skills/asgeirtj/system_prompts_leaks/artifact-diagramming"><img src="https://agentmods.dev/badge/skills/asgeirtj/system_prompts_leaks/artifact-diagramming/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/artifact-diagramming"><img src="https://agentmods.dev/badge/skills/asgeirtj/system_prompts_leaks/artifact-diagramming.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 | $0.00045 | $0.00884 |
| Opus 5 | $0.00023 | $0.00442 |
| Sonnet 5 | $0.00009 | $0.00177 |
| Haiku 4.5 | $0.00005 | $0.00088 |
Grade A, and why
artifact-diagramming 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 — 29 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Draw as the engineer who has to live with the decision, not as a decorator: a diagram earns its place when it lets a cold reader see a mechanism they would otherwise have to assemble from prose - where data flows, which components talk, what changes between two options, what state a request moves through. If a sentence says it faster, write the sentence.
What to draw
Depict the mechanism, not its name. A box labeled "cache" says less than the prose; the path a request takes through it, the two stores it sits between, and the arrow that disappears when the cache is removed say what the words can't. Show the parts that the argument hinges on - the boundary being crossed, the hop being added, the data that moves - and leave out the parts that don't.
Comparing options? Draw the difference. Two architectures side by side, a before and an after, the one edge that each option adds or removes - the reader should be able to point at what they are choosing between. A separate labeled box per option, with nothing connecting them to the system, is not a comparison; it is a restated option list.
Match complexity to the stakes. A one-hop question is a three-box diagram; a migration that reroutes writes through a queue needs the queue, the writer, the reader, and the ordering arrow. Draw as much as the decision actually turns on - no forced minimalism, no inventory of the whole system either.
Label the arrows. An unlabeled arrow is "related somehow"; writes, invalidates, polls every 30s is information. A legend is only worth it when the same encoding (dashed, colored, doubled) repeats; otherwise put the meaning on the mark itself.
Inline SVG mechanics
These mechanics apply where the page renders inline SVG natively (HTML pages); a markdown-rendered page draws its diagrams in whatever fence that lane's renderer supports, and the skill that owns the lane says which. Hand-author inline <svg> with native shapes (rect, circle, line, polyline, path) and <text> - no libraries, no runtime, no external images.
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 · 29 lines · 45 tokens per session scan A ce508fac9bdf
artifact-diagramming 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 45 tokens to every session and 884 once invoked, about $0.0002 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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