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context-{team-slug}-{topic-slug}

context-{team-slug}-{topic-slug} is a skill for Claude Code, Codex from asgeirtj/system_prompts_leaks. It costs 28 tokens per session (1,341 once invoked), scanned A, original, CC0-1.0.

A reusable set of domain-specific working guidance for data tasks, with placeholders for a team and topic. It can define which data, products, users, and workflows the guidance applies to, along with conventions for reports and charts.

In plain words
What is it for?
Use it to record and apply scoped conventions for analysis, dashboards, reports, charts, and related data work.
Why use it?
It helps an agent apply the right team or business context instead of relying only on general instructions. More specific context can take priority over broader guidance.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 71krepo +401 today A scan 28 tokens original CC0-1.0

Good fit Use it to record and apply scoped conventions for analysis, dashboards, reports, charts, and related data work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/asgeirtj/system_prompts_leaks/sample-context
View source ↗ asgeirtj/system_prompts_leaks
About the project

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.

asgeirtj/system_prompts_leaks · 71,023 stars · on GitHub

Install

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.

Any agent
npx skills add asgeirtj/system_prompts_leaks --skill sample-context
Clone the repo
git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for context-{team-slug}-{topic-slug}

README.md
[![agentmods](https://agentmods.dev/badge/skills/asgeirtj/system_prompts_leaks/sample-context/github.svg)](https://agentmods.dev/skills/asgeirtj/system_prompts_leaks/sample-context)
Your own site
<a href="https://agentmods.dev/skills/asgeirtj/system_prompts_leaks/sample-context"><img src="https://agentmods.dev/badge/skills/asgeirtj/system_prompts_leaks/sample-context/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.

agentmods 80×15 button for context-{team-slug}-{topic-slug}

Your own site · 80×15
<a href="https://agentmods.dev/skills/asgeirtj/system_prompts_leaks/sample-context"><img src="https://agentmods.dev/badge/skills/asgeirtj/system_prompts_leaks/sample-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,341 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.01341
Opus 5.5 $0.00011 $0.00536
Sonnet 5.5 $0.00006 $0.00268
Haiku 4.5 $0.00003 $0.00134

Measured yesterday against content hash 483815b9eae9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

context-{team-slug}-{topic-slug} 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 yesterday.

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.

OpenAI/Codex/plugins/data-analytics/skills/create-data-context/references/sample-context-skill.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

context-{team-slug}-{topic-slug}

  • Applies to: {Data, products, data workflows, intended users, and any explicit applicability limits.}

More-specific applicable context takes precedence for working conventions; levels to the left take priority.

Individual > Team > Business unit > Company > Default

Design and visual style

Use when creating dashboards, reports, or charts. Scope conventions to the primary artifact and audience where useful. Carry relevant visual preferences into exports, adapting layout and interactions to the destination's capabilities.

Read the full file on GitHub · 75 lines

Changes

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.

  1. yesterday First seen · 75 lines · 28 tokens per session scan A 483815b9eae9

Subscribe to this mod's changes

context-{team-slug}-{topic-slug} is a skill published in the GitHub repository asgeirtj/system_prompts_leaks (71,023 stars, last pushed today), licensed CC0-1.0. It adds 28 tokens to every session and 1,341 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-11-07.

Claude CodeMemory and contextaianthropicchatbotchatgptclaude
Related

context-{team-slug}-{topic-slug} compared with skills from other repositories

context-{team-slug}-{topic-slug} next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
context-{team-slug}-{topic-slug}asgeirtj/system_prompts_leaksSkill71ktodayCC0-1.0A28Claude Code, Codex
llm-wikiNousResearch/hermes-agentSkill262ktodayMITB19Claude Code, Codex
qmdNousResearch/hermes-agentSkill262ktodayMITB14Claude Code, Codex
ai-persistenceTanStack/aiSkill3.3ktodayMITA88Claude Code
ai-persistence/serverTanStack/aiSkill3.3ktodayMITA83Claude Code
ai-core/client-persistenceTanStack/aiSkill3.3ktodayMITA141Claude Code
tanstack-ai-memory-redisTanStack/aiSkill3.3ktodayMITA52Claude Code