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 agentmods add skills/vgrss/acumen/personanpx skills add VGrss/Acumen --skill personagit clone --depth 1 https://github.com/VGrss/AcumenWrote 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/vgrss/acumen/persona)<a href="https://agentmods.dev/skills/vgrss/acumen/persona"><img src="https://agentmods.dev/badge/skills/vgrss/acumen/persona.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.00769 |
| Opus 5 | $0.00014 | $0.00385 |
| Sonnet 5 | $0.00006 | $0.00154 |
| Haiku 4.5 | $0.00003 | $0.00077 |
Grade A, and why
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 4d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MANDATORY PREPARATION
Invoke /product-thinking — it contains product principles and the Context Gathering Protocol. Follow the protocol before proceeding — if no product context exists yet, you MUST run /teach-acumen first.
Mindset: A persona is a behavior pattern, not a demographic profile. "Batch-processes weekly reports and breaks when export stalls" is a persona. "Sarah, 32, marketing manager" is not.
Behavior
When called with a specific persona or user segment: Build or update that persona. Ask the user what behaviors they've observed, what triggered this, and what signals they're reading.
When called without argument: Review all personas for staleness and gaps. Flag personas that feel assumed rather than observed. Identify missing behavior patterns.
Research Process
- Read
.acumen.mdfor product context — users, job to be done, feedback source, metrics - Read
.acumen/personas.mdfor existing personas - If a feedback source is configured in
.acumen.md, ask the user to share recent feedback or pull from the configured source to ground personas in real signals - For each persona (new or updated), build from behavior outward:
- What job are they hiring the product to do?
- What's the context when they use it? (time pressure, environment, emotional state)
- What's their actual behavior pattern? (frequency, workflow, workarounds)
- What's the pain that drives them to the product?
- What does success look like for them? (not for you — for them)
- What triggers them to start a session?
- What's their value sensitivity? (price, time, reliability, flexibility)
- What feedback signal would tell you this persona is happy or churning?
Output
Write to .acumen/personas.md:
# Personas
_Last updated: [date]_
## [Persona Name — a behavior, not a demographic]
- **Job**: [What they hire the product to do]
- **Context**: [When, where, under what pressure]
- **Behavior**: [Usage pattern, frequency, workflow]
- **Pain**: [What drove them here, what breaks for them without it]
- **Success**: [What winning looks like from their perspective]
- **Trigger**: [What starts a session — event, schedule, frustration]
- **Value sensitivity**: [What they'd pay for, what they'd leave over]
- **Feedback signal**: [How you'd detect satisfaction or churn for this persona]
## [Next persona...]
## Prioritization
[Which personas matter most right now and why. Not all personas are equal — be explicit about who you're building for first and who you're consciously underserving.]
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.
- 4d ago First seen · 77 lines · 28 tokens per session scan A 4c825f06d3d7
persona is a skill published in the GitHub repository VGrss/Acumen (11 stars, last pushed 29d ago), licensed Apache-2.0. It adds 28 tokens to every session and 769 once invoked, about $0.0001 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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