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agentcast

AgentCast: A library of reusable sub-agent personas, validated and scored.

CI Latest release License: MIT MCP server Follow @naman10parikh on X Naman Parikh on LinkedIn

Quick start · Website · How it works · AGENTS.md · llms.txt · Skills · Discussions · All projects

A library of reusable sub-agent personas, validated and scored.

AgentCast is an agent employee, a packaged specialist agent with its own skills, memory and tests. It owns one job: sub-agents. Coding agents use it through its skills, its MCP server and its command line. A scheduled job runs its evals and proposes fixes. A person makes every change.

AgentCast is part of an agent-native play for agent-native systems that can eventually be recursively self-improving and evolving, operated by agent employees.

AgentCast: a real task, run offline

Cast the right agent for every role.

agentcast keeps six reusable sub-agent personas (researcher, code reviewer, test writer, security reviewer, architect, QA tester) that you install into a project's .claude/agents/ with one command. It checks any persona against what Claude Code actually reads, scores it, and picks the right one for a task. It is for anyone who gives a coding agent specialist helpers, including helpers someone else wrote: agentcast shows what such a persona can do and runs any commands it carries inside an E2B microVM before you install it.

Use it from any coding agent

Claude Code: the plugin brings the skills, sub-agents, hooks and MCP server.

/plugin marketplace add naman10parikh/agentcast
/plugin install agentcast@agentcast
Its MCP server, Codex, Cursor, Gemini CLI, one skill and the command line

Its MCP server, in any MCP client:

claude mcp add --transport stdio agentcast -- npx -y -p github:naman10parikh/agentcast agentcast-mcp
codex mcp add agentcast -- npx -y -p github:naman10parikh/agentcast agentcast-mcp

Cursor (.cursor/mcp.json), Gemini CLI (.gemini/settings.json) and most other clients take the same command as JSON:

{
  "mcpServers": {
    "agentcast": {
      "command": "npx",
      "args": [
        "-y",
        "-p",
        "github:naman10parikh/agentcast",
        "agentcast-mcp"
      ]
    }
  }
}

Gemini CLI: the extension brings the context and the MCP server.

gemini extensions install https://github.com/naman10parikh/agentcast

One skill (3 in all, in skills/), in any agent that reads Agent Skills:

gemini skills install https://github.com/naman10parikh/agentcast --path skills/persona-validate
git clone --depth 1 https://github.com/naman10parikh/agentcast /tmp/agentcast && cp -r /tmp/agentcast/skills/persona-validate ~/.claude/skills/

The command line:

npx -y -p github:naman10parikh/agentcast agentcast --help

Codex, Cursor, OpenCode, GitHub Copilot and other agents read AGENTS.md; Claude Code reads CLAUDE.md and Gemini CLI reads GEMINI.md, which import it. llms.txt maps every surface for agents that read first.

Quick start

It installs from GitHub; nothing is published to npm. In any project:

npx -y -p github:naman10parikh/agentcast agentcast dispatch "audit the login endpoint for injection and leaked secrets"
# → security-reviewer
npx -y -p github:naman10parikh/agentcast agentcast add security-reviewer
# added security-reviewer → .claude/agents/security-reviewer.md  (valid)
npx -y -p github:naman10parikh/agentcast agentcast score --dir .claude/agents
# ✓ security-reviewer.md  10/10

Before installing a persona someone else wrote, see what it can do, and run the commands it carries in a microVM (needs E2B_API_KEY):

npx -y -p github:naman10parikh/agentcast agentcast trial ./their-persona.md --sandbox=e2b
# commands it carries: 1
#   [hooks] exit=2 (80 ms) echo checked-by-persona-hook; exit 2

Working on agentcast itself:

git clone https://github.com/naman10parikh/agentcast && cd agentcast
npm test && npm run eval        # node:test suites, then the rubric and the golden cases
node validator/validate.mjs --library

How it works

The library

File Role Tools
researcher.md Multi-source web + codebase research Read, Glob, Grep, WebSearch, WebFetch, Bash
code-reviewer.md TypeScript/security/arch code review Read, Glob, Grep
test-writer.md Vitest unit + integration test generation Read, Glob, Grep, Write, Edit
security-reviewer.md Injection / auth / CORS / secrets audit Read, Glob, Grep
architect.md Trade-off analysis + system design Read, Glob, Grep, WebSearch, WebFetch
qa-tester.md User-perspective E2E QA + bug reports Read, Glob, Grep, Bash, WebFetch

No persona sets a model, so each one runs on the session's model and upgrades with it. The Claude Code plugin ships all six, plus agentcast's own auditor and caster.

Validator rules

Checked against Claude Code's sub-agent documentation (19 frontmatter fields, read 2026-10-19):

  1. PATH: project personas live under .claude/agents/, one flat level (no agents/agents/)
  2. FRONTMATTER: name and description are required; a name has no :, no leading -, at most 256 characters
  3. TOOLS: the allowlist key is tools. Claude Code ignores allowed-tools in a sub-agent (it is the skills key), so a persona using it silently gets every tool
  4. VALUES: model is optional (inherit, sonnet, opus, haiku, fable or a full ID), and permissionMode, memory, effort, isolation, color and background hold values Claude Code accepts

The flat-path standard

Claude Code reads project personas from .claude/agents/ and knows each one by its name. The standard keeps one flat level, .claude/agents/<name>.md, so every persona is easy to find. The validator fails agents/agents/ nesting (the A3 mistake): outside .claude/agents/, Claude Code never loads those files.

Eval rubric (5 dimensions, 0–2 each = max 10)

Dimension What it checks
Frontmatter completeness name, description and a tools allowlist present
Model left to the session No model line (or inherit) scores 2; a family alias 1; a pinned ID 0
Tool minimalism 3 tools or fewer scores 2, up to 6 scores 1; no tools (every tool) scores 0
Output contract Explicit output format section
DO NOT MODIFY guard Read-only personas remind themselves not to write

Passing threshold: 7/10. Beside the rubric, eval/golden.json holds 12 validator verdicts that must all match and 12 plain-language routing tasks that must land on the right persona (90% or better; 100% today).

Dispatch, trial and memory

  • agentcast dispatch "<task>" routes by keywords, with no model call, and prints the install command.
  • agentcast trial <file> lists a persona's tools, permission mode and every command in its hooks or inline mcpServers. With --sandbox=e2b it writes the persona into a project inside a fresh E2B Firecracker VM, runs each command with a synthetic event on stdin, reports exit code and output, and kills the VM.
  • agentcast recall "<query>" searches its memory (identity/), the library and the skills.
  • Every command, hook and MCP call appends one line to observability/runs.jsonl.

Every night .github/workflows/improve.yml runs the tests and evals and compares the validator's fields with Claude Code's sub-agent docs. When the docs gain or drop a field, it opens an issue with the change to make; a person reviews and merges it.

See Also

  • agentgrid: orchestration layer that consumes agentcast personas
  • armory: catalog of all tools (personas are a subset)
  • agentdial: model settings dial per task

What it is made of

Every project in this fleet is graded on the same 11 harness components and on self-improvement. Each mark is backed by a file you can open.

Component Grade Where
Identity ✅ identity/SOUL.md:3
Memory ✅ identity/LEARNINGS.md:1 · lib/recall.mjs:48 (recall)
Skills ✅ skills/ (3 own skills)
Tools/CLIs ✅ package.json:11-12 (agentcast, agentcast-mcp)
Hooks ✅ .claude/settings.json:9 · hooks/persona-guard.mjs:1
Sub-agents ✅ .claude/agents/persona-auditor.md:2 · persona-caster.md:2
MCPs ✅ mcp/server.mjs:20 (4 tools)
Dispatch ✅ dispatch/dispatch.mjs:112 · .github/workflows/improve.yml:7
Evals ✅ eval/golden.mjs:1 · .github/workflows/test.yml:18
Observability ✅ observability/run-log.mjs:33 (run log)
Sandbox/Infra ✅ lib/trial.mjs:67 (E2B microVM)
Self-improvement ✅ dsip.json:2 · scripts/field-drift.mjs:1 (honest L2)

✅ real and tested · 🟡 partial, with the reason in the row · ❌ absent

How it improves itself

It carries its own evals and a self-improvement contract, dsip.json, which says what it may change and how a change is judged. A scheduled job runs its evals and proposes fixes. A person makes every change. Lessons it learns are kept as rules in its memory files.

Part of a fleet

One of the projects by Naman Parikh. Each owns one part of an agent's harness, or of the product around an agent, and all of them follow one standard.

Related project What it owns
AgentDial Identity
WikiMem Memory
Skillsmith Skills
Agent Booster Tools / CLIs
Hooksmith Hooks
Plugsmith Plugins
Armory MCPs and the component registry
AgentGrid Dispatch
AgentSwarm Dispatch
AgentBench Evals
AgentMoney Observability
Sandforge Sandbox / Infra
Claude Harness The whole harness, as a template

Community

Questions and ideas go to Discussions; bugs go to issues. Follow the work on X and LinkedIn.

Contributing and security

Read CONTRIBUTING.md. AI-assisted pull requests are welcome. Report a vulnerability privately, as SECURITY.md explains.

License

MIT, © 2026 Naman Parikh. See LICENSE and NOTICE.

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