agentprism-repl-orchestration

agentprism-repl-orchestration is a skill for Claude Code, Codex from agentprism/agentprism-workflows. It costs 56 tokens per session (924 once invoked), scanned A, original, Apache-2.0.

A guide to using AgentPrism's persistent JavaScript workspace to start, inspect, steer, queue, cancel, and restore multiple agents interactively.

In plain words
What is it for?
It helps run incremental agent evaluations, keep agent handles between commands, poll progress, inspect workspaces, and manage checkpoints and resets.
Why use it?
It lets you examine intermediate results and decide the next action instead of defining the entire multi-agent process in advance.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; mentions Codex.

Good fit It helps run incremental agent evaluations, keep agent handles between commands, poll progress, inspect workspaces, and manage checkpoints and resets.

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Install with agentmods
npx agentmods add skills/agentprism/agentprism-workflows/agentprism-repl-orchestration
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 agentprism/agentprism-workflows --skill agentprism-repl-orchestration
Clone the repo
git clone --depth 1 https://github.com/agentprism/agentprism-workflows

Made for: Claude Code, Codex.

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 agentprism-repl-orchestration

README.md
[![agentmods](https://agentmods.dev/badge/skills/agentprism/agentprism-workflows/agentprism-repl-orchestration/github.svg)](https://agentmods.dev/skills/agentprism/agentprism-workflows/agentprism-repl-orchestration)
Your own site
<a href="https://agentmods.dev/skills/agentprism/agentprism-workflows/agentprism-repl-orchestration"><img src="https://agentmods.dev/badge/skills/agentprism/agentprism-workflows/agentprism-repl-orchestration/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 agentprism-repl-orchestration

Your own site · 80×15
<a href="https://agentmods.dev/skills/agentprism/agentprism-workflows/agentprism-repl-orchestration"><img src="https://agentmods.dev/badge/skills/agentprism/agentprism-workflows/agentprism-repl-orchestration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 924 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.
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 $0.00056 $0.00924
Opus 5 $0.00028 $0.00462
Sonnet 5 $0.00011 $0.00185
Haiku 4.5 $0.00006 $0.00092

Measured 3d ago against content hash 45156e0c239c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

agentprism-repl-orchestration 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 3d 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.

docs/authoring/agentprism-repl-orchestration/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

REPL orchestration: quickstart

Context: JavaScript sent to the MCP repl tool. This is not workflow-script code: REPL agent() takes (modelSpec, task, options?), top-level return is a syntax error, and named bindings persist between calls.

The REPL is one persistent QuickJS-in-WASM workspace per absolute projectDir. Use it when you want to inspect intermediate results and decide the next step interactively. Use workflow when the full orchestration is known up front and should be repeatable as one deterministic script.

First eval

const audit = agent("codex", "Inspect the parser for correctness bugs");

Send that code using:

{ "action": "eval", "projectDir": "/absolute/project", "code": "..." }

agent() returns a persistent promise-handle immediately. Storing the handle before awaiting preserves its id, queue(), steer(), and cancel() methods for later evals.

Inspect or await it in another eval:

agents()
const report = await audit;
report

A completed eval returns { output, result? }. If the soft hold bound expires while the eval remains suspended, the tool returns { output, running: [callIds] }; execution continues server-side. Poll without running new code by evaluating the empty string:

{ "action": "eval", "projectDir": "/absolute/project", "code": "" }

Essential semantics

  • Top-level await works; top-level return does not.
  • let, const, var, functions, and classes remain available to later evals.
  • _ is the previous eval's completion value.
  • Console output is returned as text but is not a persistent value. Assign values you need later.
  • There is no filesystem, network, import, or general timer API in the VM. Subagents perform external work; sleep(ms) is the one host-backed timer.
  • The default eval hold is 60 seconds and the per-call maximum is 120 seconds. This is a response hold, not cancellation.
  • Use interrupt with a call id to cancel one subagent/queued turn, or omit id to break the currently running eval.
  • workspace() shows bindings, in-flight calls, checkpoints, and diagnostics. agents() shows live agent lanes and queued turns.
  • reset() tears the workspace down after the current eval completes.

Read the full file on GitHub · 84 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 3d ago First seen · 84 lines · 56 tokens per session scan A 45156e0c239c

Subscribe to this mod's changes

agentprism-repl-orchestration is a skill published in the GitHub repository agentprism/agentprism-workflows (6 stars, last pushed today), licensed Apache-2.0. It adds 56 tokens to every session and 924 once invoked, about $0.0003 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 2026-09-05.

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