agents

agents is a skill for Claude Code, Codex from asgeirtj/system_prompts_leaks. It costs 130 tokens per session (3,054 once invoked), scanned A, original, CC0-1.0.

A project coordinator for coding work. It can split a goal into parallel workstreams, track their progress, resume them, and verify and close completed work.

In plain words
What is it for?
Starting projects, assigning independent tasks, checking what each thread is doing, continuing paused work, and accepting completed work after verification.
Why use it?
It gives long or multi-part coding tasks an explicit plan and status instead of leaving unfinished threads unclear.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; mentions Codex.

Good fit Starting projects, assigning independent tasks, checking what each thread is doing, continuing paused work, and accepting completed work after verification.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/asgeirtj/system_prompts_leaks/agents
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 · 70,207 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 agents
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 agents

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/asgeirtj/system_prompts_leaks/agents"><img src="https://agentmods.dev/badge/skills/asgeirtj/system_prompts_leaks/agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 130 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,054 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 $0.00130 $0.03054
Opus 5.5 $0.00052 $0.01222
Sonnet 5.5 $0.00026 $0.00611
Haiku 4.5 $0.00013 $0.00305

Measured 21d ago against content hash f9fb351b9783, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agents 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 21d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/agents_copy_channel.py, scripts/agents.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Meta/muse-code/skills/agents/SKILL.md · 206 lines

How it starts

The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.

agents

  1. Decide: yourself unless several lanes or a long wait (§ 1); an irreversible step → § 2's question, then act.
  2. Clarify: no target you could verify → read_skill grill, its interview until settled, no plan before; one decision to confirm → one grill-shaped question before the act; remember --decision as each settles.
  3. Init: the message on stdin, init - --slug … --done-means … --goal … --repo …; --engine codex|claude when the user names the workers' engine.
  4. Propose (only when § 1 says threads; else do it now): the threads as JSON → propose.
  5. Open or ask: a plain split → go, arm the wake, tell the plan; else the texts to choose between, or § 2's question.
  6. Each wake: context once; inbox, oldest first; propose ready threads; one name-first line per thread; wake armed; end the turn.
  7. Done: verify, accept each thread, agents.py archive, say what closed and stayed.

Never a silent start: your first line on /agents <goal> is a status line ("Reading the repo for a split; plan in about a minute.") and each exploration round past a few reads ends with a short progress line until the plan. Run python3 <skill-dir>/scripts/agents.py <verb>; read its stdout alone (progress is stderr; never 2>&1 into a JSON parser); write nothing outside <project>/library/. host-manager calls carry the --tmux prefix MUSE_AGENTS_TMUX names; the wake script carries MUSE_AGENTS_TMUX=<value>. Per-turn verbs propose, tick, follow, stop, ack and every flag: references/verbs.md; context reads the inbox it returns.

1. Decide

Every child is an agents.py lane; never subagent_spawn. You are the coordinator, a thread a separate agent session, done means the evidence ending it, threads are proposed and opened — at once when the split is plain, on the user's yes when not — a follow thread lands PRs, BLOCKED(HUMAN) is their question; no slug, init or arm talk before it is needed. Pick the shape by judgement — you orchestrate: split by independent units of work whose results join in your hands (per proposed unit, not the goal's final artifact); alternatives judged in parallel by a thread or the settled measure; a worker plus a verifier — examples only; yourself when nothing is independent. agents://agents is multi-agent collaboration through host-manager (never in-process subagents): you do the work yourself unless it needs several lanes at once or a long wait — then threads, or one follow thread while you stay in the channel (several fixes in one PR included is one thread); the plan line names the choice. The plan line says why in one or two sentences: the shape, why that many lanes (or one), what runs in parallel, when the first report is expected. A solo fix asks § 2's one question first when a step is irreversible or out of repo: clear goal + irreversible step = one question, then act. "Pick up " is resume <slug> --takeover --confirm "<their words>", never init: run it before any git or test in their clone.

Read the full file on GitHub · 206 lines

Files

What ships with it

8 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.

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. 21d ago First seen · 206 lines · 130 tokens per session scan A f9fb351b9783

Subscribe to this mod's changes

agents is a skill published in the GitHub repository asgeirtj/system_prompts_leaks (70,207 stars, last pushed today), licensed CC0-1.0. It adds 130 tokens to every session and 3,054 once invoked, about $0.0005 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 2026-10-05.