Raven is an open-source agent harness for running long-term AI work with terminal execution, tracing, memory, skills, evaluation, and reusable workflows. People use the current release to operate and improve persistent AI workflows, while its described future direction is a multi-agent system that combines specialized harnesses.
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 EverMind-AI/Raven --skill raven-self-configgit clone --depth 1 https://github.com/EverMind-AI/RavenWrote 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/evermind-ai/raven/raven-self-config)<a href="https://agentmods.dev/skills/evermind-ai/raven/raven-self-config"><img src="https://agentmods.dev/badge/skills/evermind-ai/raven/raven-self-config/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/evermind-ai/raven/raven-self-config"><img src="https://agentmods.dev/badge/skills/evermind-ai/raven/raven-self-config.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 | $0.00037 | $0.03128 |
| Opus 5.5 | $0.00015 | $0.01251 |
| Sonnet 5.5 | $0.00007 | $0.00626 |
| Haiku 4.5 | $0.00004 | $0.00313 |
Grade A, and why
raven-self-config 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 14d 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.
- Never read, copy or test a key yourself: no curl, no credential stores or How it starts
The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Configuring Raven itself
raven_config is the only way you change Raven's configuration. Never edit
config.json, an agent's .env, or anything under ~/.raven with file or shell
tools: those writes skip validation, skip the user's confirmation, and a config
that fails validation stops Raven from starting.
Raven's source code, logs and config files are not a manual. To find out what
can be configured or why something is set up the way it is, use
raven_config and nothing else: do not grep or read Raven's source, its logs,
~/.raven or another Raven's files. If raven_config has no setting for it,
tell the user it cannot be changed from here (and where, if Settings has it);
that answer is correct and complete.
Suspect configuration when something fails or is missing
Most questions about settings are not phrased as settings. Treat these as configuration questions and look before you answer:
| The user says or you see | Look at |
|---|---|
A sub-agent failed, errored, or "is not there" (Raven-Research failed, no Codex) |
describe subagents.<name>: added? enabled? status, last_test, needs_auth, missing_program say why. An external agent's own problem you then fix yourself (see Sub-agents); Raven's source and logs are not where the answer is |
| A tool you would use is not in your tool list, or the user asks whether you can do something (generate images, search the web, speak) | describe: a capability that is off shows not set with what that means (image, speech and video generation, web search). Answer "yes, once it is configured" and offer to set it up, never a flat "I can't". Handing the work to a sub-agent that has the tool is fine; say your own is not configured |
| Commands time out, turns stop early, context is forgotten, or the user asks whether you have a limit | tools.exec.timeout, agents.defaults.maxToolIterations, agents.defaults.contextWindowTokens. Read the value before answering; do not answer from what you believe about yourself |
| "I message you on Telegram/Feishu/... and you don't answer" | describe channels.<name>: enabled? allowFrom includes them? |
| A link to GitHub, Notion, Linear, Jira, Slack, Google Drive ... | Not a setting: the plugin tool. plugin list to see if it is connected; if not, plugin find and offer to connect it, and say what connecting gets them (private repos, write access). Reading a public page instead is fine, but the reply still says it is not connected and offers the connection |
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.
- 14d ago First seen · 212 lines · 37 tokens per session scan A 302949633b28
raven-self-config is a skill published in the GitHub repository EverMind-AI/Raven (5,497 stars, last pushed today), licensed Apache-2.0. It adds 37 tokens to every session and 3,128 once invoked, about $0.0001 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 2026-10-04.
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