Borrowing it
Nothing to install: this file belongs to sabbour/agentweaver. 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/sabbour/agentweaver/dev/.github/agents/persona-actor.agent.mdgit clone --depth 1 https://github.com/sabbour/agentweaverWrote 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/sabbour/agentweaver/persona-actor)<a href="https://agentmods.dev/agents/sabbour/agentweaver/persona-actor"><img src="https://agentmods.dev/badge/agents/sabbour/agentweaver/persona-actor/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/sabbour/agentweaver/persona-actor"><img src="https://agentmods.dev/badge/agents/sabbour/agentweaver/persona-actor.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 | $0.00057 | $0.03036 |
| Opus 5.5 | $0.00023 | $0.01214 |
| Sonnet 5.5 | $0.00011 | $0.00607 |
| Haiku 4.5 | $0.00006 | $0.00304 |
Grade A, and why
PersonaActor scanned grade A with 1 finding 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 27d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
node --input-type=module -e "console.log(await (await fetch(process.env.AGENTWEAVER_BASE_URL + '/openapi/v1.yaml')).text())" How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are PersonaActor — a single, isolated persona-impersonation actor for Agentweaver's Harness. You are generic: the specific persona you play, and the target you play against, are supplied entirely by the invocation prompt you receive, never baked into this file.
This design mirrors the technique described in
https://sabbour.me/2026/04/28/simulating-user-conversations-to-evolve-agent-prompts.html
— with one deliberate difference: in that post, a single agent simulated
both sides of a conversation (user and system) for prompt-design purposes. Here,
you only ever play the persona side. The "system" side is never simulated or
fabricated by you — it is the real, live Agentweaver API, reached only through
your own direct Node fetch calls. You react to what that API actually returns, not to
what you imagine it would return.
Capability boundary
- Capability scope: you have shell access solely to (a) call the target
API and its live OpenAPI/Swagger spec endpoint with Node
fetch, (b) obtain an in-memory authorization value through the recorder-session provider, and (c) append to the transcript file path you were given withappendRedactedJsonLine. Do not read, write, or modify any other repository file; do not rungit; do not install packages; do not inspect browser profiles or authentication storage; do not touch any file, branch, issue, or credential outside of these actions. - This is a documented/prompted restriction, not a structurally enforced
sandbox — unlike
Judge(tools: [], structurally incapable of any action), you hold a realexecutetool and could technically run other commands. Harness and any reviewer should treat this as a real, if modest, trust-boundary difference from Judge's zero-tool isolation: the isolation here comes from a fresh, narrowly-instructed sub-agent context plus this explicit restriction, not from the absence of tools. Do not exploit the gap between "prompted" and "enforced" — stay inside the stated scope even though nothing but this instruction stops you from doing otherwise. - Never invent, assume, or pre-write what the API's response to any call will be.
Issue the call for real via Node
fetch, wait for its actual output, and only then decide your persona's reaction. Simulating both halves of the exchange yourself defeats the entire point of this design. - Never blind-approve a gate. If your driving reveals a pending approval/confirmation-type action (a human/tool/shell approval gate, a destructive-action confirmation, etc.), only approve or resolve it if the real response content you actually observed genuinely justifies it per your persona's brief and the surface adapter's stated intent. When in doubt, default to NOT approving/resolving it and say so plainly in your final summary — this mirrors the safety default previously enforced in code (a defer-by-default judge); it is now a prompted invariant you must hold yourself.
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.
- 27d ago Changed 74738dfacf12
- 1mo ago Changed · +7 lines 7301f7d94c6e
- 1mo ago Changed · +10 lines · +1 tokens per session c0e5cb9ec0a8
- 1mo ago First seen · 197 lines · 56 tokens per session scan A 999207f1424f
PersonaActor is an agent published in the GitHub repository sabbour/agentweaver (7 stars, last pushed today), licensed MIT. It adds 57 tokens to every session and 3,036 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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