Agent skill

Overmind Agent

by overmind-core in overmind-core/overmind

Inspect an Overmind project's agent map, capabilities, behaviour contracts, repository provenance and evaluation coverage.

AGPL-3.0Auto-check passedAI & LLM Engineering

Install Overmind Agent

skills CLI
$ npx skills add overmind-core/overmind --skill overmind-agent -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install overmind-core/overmind overmind-agent --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/overmind/skills/overmind-agent .claude/skills/overmind-agent && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
overmind-agent
GitHub stars
597
Token cost
~797 tokens
SKILL.md length
391 words
Files
3 (incl. assets)
Skills in repo
20
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Inspect an Overmind project's agent map, capabilities, behaviour contracts, repository provenance and evaluation coverage.

  • Understanding what the agent does
  • SKILL.md covers Establish the map, Connect contracts to evidence and Changes and handoffs
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Choosing which capability to improve

What it does

Overmind Agent is an agent skill from overmind-core/overmind. Inspect an Overmind project's agent map, capabilities, behaviour contracts, repository provenance and evaluation coverage. Use for understanding what the agent does or choosing which capability to improve.

Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including assets (for example `agents/openai.yaml`).

It sits in AI & LLM Engineering. The repository describes itself as: The platform for continuously improving AI agents. The licence is AGPL-3.0.

When your agent uses it

  • Understanding what the agent does
  • Choosing which capability to improve

Example prompts

  • “/overmind-agent”

What it can do on your machine

Read from SKILL.md and the folder at commit 3dec73c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Overmind Agent loads about 797 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 391 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~797

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from overmind-core/overmind at commit 3dec73c, republished under its AGPL-3.0 licence (© overmind-core). 391 words, ~797 tokens.

Download SKILL.mdSave it as .claude/skills/overmind-agent/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
overmind-agent
description
Inspect an Overmind project's agent map, capabilities, behaviour contracts, repository provenance and evaluation coverage. Use for understanding what the agent does or choosing which capability to improve.

Overmind Agent

Start with list_projects and choose the intended accessible project. For an account connection, pass its project_id on every project tool and resource URI query; follow returned links. Project API keys retain their narrower access.

Turn the Agent surface into an evidence-based account of the project's capabilities, their contracts and the next improvement to make. The agent is the project; capabilities are its nodes, not separate agents.

Establish the map

Use the configured Overmind MCP connection. Read overmind://project/current?project_id=ID for project identity and repository provenance. A missing repository snapshot means the scanned revision is unknown; last_synced_at is not the scan time. Live traces can come from another revision.

Resolve a supplied capability through overmind://capabilities/{capability}. For project-wide orientation, get_instrumentation_plan without a capability returns registered placements and any required local action. Use returned identities; there is no list_capabilities tool. Placements and observed executions are evidence about the map, not proof of complete coverage.

Inspect the capability's status, task context, dataset, eval set, benchmark and live model. A leftover capability is an absent scan result, not a deletion request. MCP cannot create capability cards by scanning a repository.

Show full SKILL.md (206 more words)Show less

Connect contracts to evidence

When prompts are supported, use investigate-capability with the resolved capability. Otherwise combine inspect_capability_health and query_task_executions as needed. Follow relevant trace resource links.

Distinguish capability, behaviour and task execution: a behaviour is a scanned contract; an execution is one observed, bound unit. Separate declared, anchor_join and unbound executions. Unbound executions indicate a mapping gap; missing scores do not demonstrate success. There is no behaviour resource or behaviour-list tool to invent.

Choose the next action from the evidence: refresh the repository map, instrument an uncovered behaviour, prepare data, repair evaluation coverage or investigate a measured failure. Do not automatically start those mutations during a map review.

Changes and handoffs

Repository discovery runs locally through the installed Overmind setup workflow and overmind sync; MCP cannot inspect an arbitrary Git provider or edit files. If local tooling is unavailable, report that handoff and retain the current map.

benchmark_model selects the incumbent for future comparisons; active_model controls live serving. Preserve both during a map review. Use their respective mutation tools only for the user's requested selection.

Return the capability identities, observed coverage, provenance limitations and the next useful action. For a visual view, open the project's console_url; for one capability use capabilities/{id}, preserving its base and projectId.

© overmind-core, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (assets) in overmind/skills/overmind-agent of overmind-core/overmind.

  • SKILL.md
  • agents/openai.yaml
  • assets/icon.png

Open the folder on GitHubat commit 3dec73c

Compare with similar skills

Overmind Agent next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Overmind Agent compared with similar skills
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Overmind Agent this skillovermind-core/overmind597—~797Automated safety check: PassAGPL-3.0
Agent BuildershareAI-lab/learn-claude-code78k6 repos~1.2kAutomated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
Peft Fine TuningOrchestra-Research/AI-Research-SKILLs13k9 repos~3.1kAutomated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k9 repos~3.3kAutomated safety check: PassMIT
1passwordtrpc-group/trpc-agent-go1.8k15 repos~656Automated safety check: PassApache-2.0

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Questions about Overmind Agent

What does Overmind Agent do?

Inspect an Overmind project's agent map, capabilities, behaviour contracts, repository provenance and evaluation coverage. Overmind Agent is an agent skill from overmind-core/overmind. Inspect an Overmind project's agent map, capabilities, behaviour contracts, repository provenance and evaluation coverage.

When should I use Overmind Agent?

Overmind Agent fits situations like: understanding what the agent does; choosing which capability to improve.

How do I install Overmind Agent in Claude Code?

Run `npx skills add overmind-core/overmind --skill overmind-agent -a claude-code`. Or copy the skill folder (overmind/skills/overmind-agent in overmind-core/overmind) into .claude/skills/overmind-agent in your project. Claude Code loads it when a task matches its description.

How do I install Overmind Agent in Codex?

Run `npx skills add overmind-core/overmind --skill overmind-agent -a codex`. Or copy the skill folder (overmind/skills/overmind-agent in overmind-core/overmind) into .agents/skills/overmind-agent in your project. Codex loads it when a task matches its description.

Can I use Overmind Agent in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add overmind-core/overmind --skill overmind-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/overmind-agent, .gemini/skills/overmind-agent, .github/skills/overmind-agent and .opencode/skills/overmind-agent in your project.

What does Overmind Agent need to run?

SKILL.md names no scripts, command-line tools or credentials: Overmind Agent is instructions for the agent only.

Does Overmind Agent access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Overmind Agent safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Overmind Agent use?

Overmind Agent is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Overmind Agent use?

About 797 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Overmind Agent?

Skills that share tags, products or a category with Overmind Agent: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Overmind Agent?

overmind-core (a GitHub organization) maintains it in overmind-core/overmind, which has 597 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 8, 2026.

Source: overmind-core/overmind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.