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 morninggit 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/morning)<a href="https://agentmods.dev/skills/asgeirtj/system_prompts_leaks/morning"><img src="https://agentmods.dev/badge/skills/asgeirtj/system_prompts_leaks/morning/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/morning"><img src="https://agentmods.dev/badge/skills/asgeirtj/system_prompts_leaks/morning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00078 | $0.04120 |
| Opus 5.5 | $0.00031 | $0.01648 |
| Sonnet 5.5 | $0.00016 | $0.00824 |
| Haiku 4.5 | $0.00008 | $0.00412 |
Grade A, and why
morning scanned grade A with 1 finding 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 23d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
then extract `files/fraunces-latin-600-normal.woff2`. Do not fetch fonts from Google Fonts: `fonts.googleapis.com` (the CSS) is reachable here but `fonts.gstatic.com` (the binaries) is blocked by the egress proxy — urlli How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context
This page is my 30-second morning glance: one calm view of the shape of my day and the few things worth knowing, so I start oriented instead of overwhelmed.
Draw one warm, hand-sketched single-file HTML page. The top half is a visual anchor: the day drawn as terrain with a few words underneath. The bottom half is important things: what needs me, what's already sorted, and any extra sections I've asked for.
Setup
When I ask to set this up as a recurring task, infer which language the brief should be in: during the interactive session, the language I wrote to you in; otherwise the language I wrote my setup request in. Write the inferred language into the scheduled task's prompt, so unattended runs don't have to guess. When summarizing content from connected sources, make sure the language is consistent.
Gather
Let the user know this skill will take a few minutes.
Check connections and sort available tools into roles: calendar · email · chat · other (task trackers, docs). A missing role is skipped; the page adapts.
When a core role (calendar, email, chat) has no connected tool and the session is interactive, surface the fix as connector suggestion cards, not prose.
For each missing role, search the connector catalog by its everyday names — calendar: "google calendar", "outlook calendar" · email: "gmail", "email" · chat: "slack", "teams", "chat". The mainstream matches are typically Google Calendar, Gmail, Slack, and Microsoft 365 (Outlook mail/calendar and Teams in one). Offer them as one card of suggestions covering every missing role together, alongside the delivered page.
Checking my existing connections only shows what's already installed — an empty or off-role result there still means the catalog needs searching, and the card shown by that check is not the suggestion. Not every session can search the catalog or offer suggestion cards; when this one can't, skip the cards and let the Write fallbacks carry the ask.
Skip all of this on an unattended scheduled run: no one is there to click, so just render the brief.
What ships with it
2 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.
- 23d ago First seen · 153 lines · 78 tokens per session scan A a7c4dbcb7457
morning is a skill published in the GitHub repository asgeirtj/system_prompts_leaks (69,707 stars, last pushed 2d ago), licensed CC0-1.0. It adds 78 tokens to every session and 4,120 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-23.
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initiate-setup
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himalaya
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