persona-seed

persona-seed is a skill for Claude Code from acnlabs/OpenPersona. It costs 88 tokens per session (1,727 once invoked), scanned A, original, MIT.

A tool for creating an OpenPersona persona pack from profiles sampled from a large persona dataset. It searches the dataset from a user's request, lets the user choose a profile, and turns it into a persona.

In plain words
What is it for?
Use it to sample a persona from MatrAIx Persona 1M or another supported corpus, fill in missing details, and generate an OpenPersona pack.
Why use it?
It gives you a starting point based on population patterns or archetypes instead of requiring you to design every persona detail yourself.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code; built for openclaw.

Good fit Use it to sample a persona from MatrAIx Persona 1M or another supported corpus, fill in missing details, and generate an OpenPersona pack.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/acnlabs/openpersona/persona-seed
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 acnlabs/OpenPersona --skill persona-seed
Clone the repo
git clone --depth 1 https://github.com/acnlabs/OpenPersona

Made for: Claude Code.

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 persona-seed

README.md
[![agentmods](https://agentmods.dev/badge/skills/acnlabs/openpersona/persona-seed/github.svg)](https://agentmods.dev/skills/acnlabs/openpersona/persona-seed)
Your own site
<a href="https://agentmods.dev/skills/acnlabs/openpersona/persona-seed"><img src="https://agentmods.dev/badge/skills/acnlabs/openpersona/persona-seed/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 persona-seed

Your own site · 80×15
<a href="https://agentmods.dev/skills/acnlabs/openpersona/persona-seed"><img src="https://agentmods.dev/badge/skills/acnlabs/openpersona/persona-seed.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,727 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 127
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
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 $0.00088 $0.01727
Opus 5 $0.00044 $0.00864
Sonnet 5 $0.00018 $0.00345
Haiku 4.5 $0.00009 $0.00173

Measured 12d ago against content hash d00e12ded017, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

persona-seed 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 12d ago.

The scan reads SKILL.md. This mod also ships 11 executable files (providers/matraix-persona-1m/provider.js, providers/matraix-persona-1m/scripts/decode_parquet.py, providers/nemotron-personas-usa/provider.js, …), 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.

skills/persona-seed/SKILL.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.

persona-seed — Population seeds → OpenPersona packs

One orchestration skill. Many corpus providers. MatrAIx Persona 1M is the first adapter — not a special-case product path.

Dependency chain: persona-seedskills/open-personaopenpersona create
Sibling: anyone-skill (evidence distillation of a specific subject). Prefer anyone-skill for real people / named characters; prefer persona-seed for population sampling and archetypes from a corpus.

Trigger phrases

  • /persona-seed
  • "create a persona from MatrAIx"
  • "sample a persona from Persona 1M"
  • "pick a seed profile and generate a pack"
  • "从人口语料里生成人格包"

Architecture

user intent
    → provider.search (attribute filter)
    → agent re-rank + user pick
    → provider.fetch + toSeed → SeedProfile
    → fill gaps (name, role, boundaries…)
    → map-seed-to-persona.js → persona.json
    → openpersona create --config …
    → write-provenance.js → soul/seed-provenance.json

Contract: references/provider-contract.md
Schemas: schemas/intent.schema.json, schemas/seed-profile.schema.json
Registry: providers/registry.json (hfRepo / provider id → module; /datasets publish ≠ seed-capable)
Providers: providers/<id>/ modules, registered explicitly

Tools (scripts)

Set SEED_DIR to this skill directory (path containing SKILL.md).

Task Command
List registry node ${SEED_DIR}/scripts/search.js --list-providers
Seed-capable HF repos node ${SEED_DIR}/scripts/search.js --seed-capable
List provider caps node ${SEED_DIR}/scripts/search.js --capabilities
Caps by HF repo node ${SEED_DIR}/scripts/search.js --repo MatrAIx2026/MatrAIx_Persona_1M --capabilities
Search seeds node ${SEED_DIR}/scripts/search.js --intent '<json>'
Fetch raw node ${SEED_DIR}/scripts/search.js --fetch --id <id>
To SeedProfile node ${SEED_DIR}/scripts/search.js --to-seed --id <id>
Map to persona.json node ${SEED_DIR}/scripts/map-seed-to-persona.js --seed <seed.json> --overrides '<json>' --out persona.json
Write provenance node ${SEED_DIR}/scripts/write-provenance.js --pack <packDir> --seed <seed.json>
Full pipeline node ${SEED_DIR}/scripts/run-pipeline.js --intent '<json>' --name "…" --slug … --role assistant --out <dir>
Validate corpus node ${SEED_DIR}/scripts/prepare-corpus.js --validate <corpus.json|.jsonl>

Read the full file on GitHub · 155 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. 12d ago First seen · 155 lines · 88 tokens per session scan A d00e12ded017

Subscribe to this mod's changes

persona-seed is a skill published in the GitHub repository acnlabs/OpenPersona (50 stars, last pushed 1mo ago), licensed MIT. It adds 88 tokens to every session and 1,727 once invoked, about $0.0004 per session on Opus 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 2026-08-30.

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