research-orchestration

research-orchestration is a skill for Claude Code, Codex from Firstp1ck/pi-coding-agent-forge. It costs 42 tokens per session (788 once invoked), scanned A, original, MIT.

A workflow for broad research projects with several related questions and sources. It plans the investigation, combines findings, closes information gaps, checks citations, and produces a final synthesis.

In plain words
What is it for?
Use it for deep research involving independent sub-questions, web pages, documents, papers, and one combined report.
Why use it?
It keeps large research tasks organized and reduces the risk of missing a question, mixing unsupported claims into the result, or skipping source checks.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/firstp1ck/pi-coding-agent-forge/research-orchestration
Any agent
npx skills add Firstp1ck/pi-coding-agent-forge --skill research-orchestration
Clone the repo
git clone --depth 1 https://github.com/Firstp1ck/pi-coding-agent-forge

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 research-orchestration

README.md
[![agentmods](https://agentmods.dev/badge/skills/firstp1ck/pi-coding-agent-forge/research-orchestration.svg)](https://agentmods.dev/skills/firstp1ck/pi-coding-agent-forge/research-orchestration)
Your own site
<a href="https://agentmods.dev/skills/firstp1ck/pi-coding-agent-forge/research-orchestration"><img src="https://agentmods.dev/badge/skills/firstp1ck/pi-coding-agent-forge/research-orchestration.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 788 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00042 $0.00788
Opus 5 $0.00021 $0.00394
Sonnet 5 $0.00008 $0.00158
Haiku 4.5 $0.00004 $0.00079

Measured 5d ago against content hash 9963241ebd15, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

research-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 5d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/_lib/normalize.py, scripts/scout_citation_audit.py, scripts/scout_evidence_bundle.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

pi-skill-research-orchestration/skills/research-orchestration/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research orchestration

Single workflow entry point for end-to-end investigations. Detailed rules live in workspace-researcher/AGENTS.md (task class, parallel investigation, Deep Research Protocol, citation audit); this skill is the ordered checklist for executing them.

When to use

  • Broad question with several independent sub-questions or claim clusters.
  • Mixed sources (web + docs + papers) and one final report or contract output.
  • User or delegating agent asked for deep research without pointing at a single comparison or single paper.

Prefer tech-deep-dive, competitor-analysis, or paper-summarizer when the task clearly matches one of those shapes.

Pipeline

  1. Classify depth — Quick / standard / deep (AGENTS.md task-class table). Honor explicit quick / standard / deep or /deep-research quick|standard|max when the user names them. Set expected tool budget.
  2. Plan sub-questions — List facets and claims to verify; note which are high-stakes (citation audit mandatory). Prefer internal → official → web (AGENTS.md data source order) when gathering evidence.
  3. Parallel pass — Batch web_search / web_fetch per independent facet; optional subagents with tight scopes and structured handoff.
  4. Merge — One synthesis pass; resolve contradictions; prefer primary sources.
  5. Gap closure — List unresolved material gaps; targeted follow-up searches or explicit “blocked” notes.
  6. Citation audit — For mandatory cases: every key finding → source row or unsupported / inferential (AGENTS.md).
  7. Deliver — Default report shape, contract JSON, or consumer-specific packet from AGENTS.md; include Limitations and Research trace when depth is standard/deep or requested (APPEND_SYSTEM.md).
  8. Log — Append a row to workspace-researcher/MEMORY.mdResearch History (topic, task class, tool bucket, major gaps, notable sources).

Scout scripts → pipeline step

Read the full file on GitHub · 61 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. 5d ago First seen · 61 lines · 42 tokens per session scan A 9963241ebd15

Subscribe to this mod's changes

research-orchestration is a skill published in the GitHub repository Firstp1ck/pi-coding-agent-forge (77 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 788 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 2026-08-30.

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