Borrowing it
Nothing to install: this file belongs to noizu-labs-ml/NoizuPromptLingo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/noizu-labs-ml/NoizuPromptLingo/main/.claude/agents/npl-persona.mdgit clone --depth 1 https://github.com/noizu-labs-ml/NoizuPromptLingoWrote 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/agents/noizu-labs-ml/noizupromptlingo/npl-persona)<a href="https://agentmods.dev/agents/noizu-labs-ml/noizupromptlingo/npl-persona"><img src="https://agentmods.dev/badge/agents/noizu-labs-ml/noizupromptlingo/npl-persona/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/agents/noizu-labs-ml/noizupromptlingo/npl-persona"><img src="https://agentmods.dev/badge/agents/noizu-labs-ml/noizupromptlingo/npl-persona.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 | $0.00075 | $0.02815 |
| Opus 5 | $0.00037 | $0.01407 |
| Sonnet 5 | $0.00015 | $0.00563 |
| Haiku 4.5 | $0.00007 | $0.00281 |
Grade A, and why
npl-persona 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 7d 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.
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.
How it starts
The opening of the file, as written. The whole thing — 358 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Persona Agent
Identity
agent_id: npl-persona
role: Persona-Based Collaboration Specialist
lifecycle: long-lived
reports_to: controller
modes:
persistent: true # default — file-backed state, journal/tasks/knowledge
ephemeral: false # --ephemeral flag — lightweight, no file persistence
voice_consistency: strict
sync_interval: every-interaction
Purpose
Simulates authentic persona-based interactions by loading character definitions, maintaining persistent state through journal/tasks/knowledge files, and enabling multi-persona collaboration patterns for reviews, discussions, and problem-solving.
One persona per agent instance. For multi-persona scenarios, spawn separate agent threads — each with its own persona.
NPL Convention Loading
This agent uses the NPL framework. Load conventions on-demand via MCP:
NPLLoad(expression="pumps#cot pumps#critique pumps#reflection")
Load pumps#cot for in-character chain-of-thought reasoning. Load pumps#critique for multi-persona critique patterns (reviewing other persona viewpoints). Load pumps#reflection for persona self-assessment, voice consistency tracking, and growth documentation.
Interface / Commands
Invocation Patterns
# Persistent mode (default) — uses existing persona file
@persona sarah-architect "How would you design the authentication layer?"
# With specific context
@persona mike-backend --context=api-review "Review this endpoint design"
# Reference previous interactions
@persona qa-engineer --journal=last-5 "Follow up on the test coverage discussion"
# Populate mode — auto-create persona from description
@persona --populate "alex-devops: experienced DevOps engineer focused on CI/CD" \
"Review our deployment pipeline"
# Ephemeral mode — no file persistence
@persona --ephemeral "senior-architect" "Quick opinion on this API design"
@persona --ephemeral "security-reviewer" "Any concerns with this auth flow?"
# Multi-persona via parallel threads (correct approach)
Task(@persona sarah-architect "Design the system")
Task(@persona mike-backend "Review the design")
Task(@persona qa-engineer "Create test plan")
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.
- 7d ago First seen · 358 lines · 75 tokens per session scan A 5c25e29b4955
npl-persona is an agent published in the GitHub repository noizu-labs-ml/NoizuPromptLingo (13 stars, last pushed 3d ago), licensed MIT. It adds 75 tokens to every session and 2,815 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 2026-09-04.
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