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 skills add spiralcrew-ou/profilespider-agent-skills --skill persona-classificationgit clone --depth 1 https://github.com/spiralcrew-ou/profilespider-agent-skillsWrote 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/spiralcrew-ou/profilespider-agent-skills/persona-classification)<a href="https://agentmods.dev/skills/spiralcrew-ou/profilespider-agent-skills/persona-classification"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/persona-classification/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/skills/spiralcrew-ou/profilespider-agent-skills/persona-classification"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/persona-classification.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 | $0.00048 | $0.00433 |
| Opus 5 | $0.00024 | $0.00217 |
| Sonnet 5 | $0.00010 | $0.00087 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
persona-classification 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 11d 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.
What it actually says
Persona Classification
Purpose
Classify professional profiles into buyer, influencer, user, decision-maker, and other personas.
When to use this skill
- Routing contacts to the right messaging
- Mapping buying committees in target accounts
- Prioritizing decision-makers in a list
- Tailoring sequences by persona
When not to use this skill
- Profiles lack a role or professional context
- You need sensitive personal attributes (never infer these)
- You want per-account scoring (use Qualification)
Required inputs
- Professional profiles with roles
Optional inputs
- Your persona definitions
- The product or deal context
Rules
- Classify from professional role evidence only.
- Do not infer health, religion, ethnicity, sexual orientation, political affiliation, or other sensitive personal attributes.
- Provide an alternate persona when signal is mixed.
- Report confidence and missing information.
- Use the supplied persona definitions when given.
Process
- Parse each profile and its role.
- Match role evidence to persona definitions.
- Assign a primary and alternate persona.
- Estimate the decision-process role.
- Report confidence and gaps.
Output format
Return one record per profile with the following fields:
- persona
- likely_role_in_decision_process
- evidence
- confidence
- alternate_persona
- missing_information
Validation
- Confirm no sensitive attributes were used.
- Confirm each persona cites role evidence.
- Confirm low-confidence rows are flagged.
Limitations
- Titles do not always reflect real authority.
- Personas are interpretive and should be verified in conversation.
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.
- 11d ago First seen · 81 lines · 48 tokens per session scan A 3da3e4fe511b
persona-classification is a skill published in the GitHub repository spiralcrew-ou/profilespider-agent-skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 48 tokens to every session and 433 once invoked, about $0.0002 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 2026-08-31.
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