structured-research

structured-research is a skill for Claude Code from rfxlamia/pocketto. It costs 147 tokens per session (2,069 once invoked), scanned A, original, MIT.

A research workflow for checking whether a technical belief or assumption is true before using it in a plan or code. It returns an evidence-backed, advisory conclusion.

In plain words
What is it for?
Use it to investigate claims such as whether a library supports a feature or whether a proposed technical approach works.
Why use it?
It helps avoid building on guesses about how a library, tool, or technical behavior works.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code.

Part of the pocketto plugin — 13 skills shipped together

Good fit Use it to investigate claims such as whether a library supports a feature or whether a proposed technical approach works.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rfxlamia/pocketto/structured-research
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 rfxlamia/pocketto --skill structured-research
Clone the repo
git clone --depth 1 https://github.com/rfxlamia/pocketto

Made for: Claude Code.

Or install pocketto, the plugin that ships this one along with the rest of its 13 skills.

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 structured-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/rfxlamia/pocketto/structured-research.svg)](https://agentmods.dev/skills/rfxlamia/pocketto/structured-research)
Your own site
<a href="https://agentmods.dev/skills/rfxlamia/pocketto/structured-research"><img src="https://agentmods.dev/badge/skills/rfxlamia/pocketto/structured-research.svg" alt="Measured on agentmods" height="20"></a>
Per session 147 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,069 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 $0.00147 $0.02069
Opus 5 $0.00073 $0.01035
Sonnet 5 $0.00029 $0.00414
Haiku 4.5 $0.00015 $0.00207

Measured 7d ago against content hash 4497e38c91cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

structured-research 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 7d 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.

skills/structured-research/SKILL.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Structured Research

Validate an explicit assumption against evidence before it becomes a planning input. Take the "thing the user still treats as an assumption", frame it as a falsifiable question, research it with a chosen methodology, and return a graded, evidence-backed verdict with a non-binding recommendation the maintainer may adopt, adapt, or replace.

Core principle: An assumption is not evidence. Evidence is not a verdict. A verdict is advisory, not a decree.

Violating the letter of this process is violating the spirit of structured research.

When to Use

Trigger when:

  • A belief is still an assumption — "I think X works this way", "this library probably supports Y", "Z is the fast path"
  • An assumption is about to enter planning/development unvalidated and the cost of being wrong is real
  • The user says "validate this", "is it true that…", "research whether…", "verify my assumption"

Do NOT use:

  • To generate or explore ideas (→ pocket-pitching / pocket-grinding — those diverge, this validates)
  • To fix a known defect (→ bug-hunting)
  • When the claim is already settled and just needs implementing (→ hotfix)

Boundary with pitching / grinding

structured-research pocket-pitching / pocket-grinding
Tests whether a stated assumption holds Generates and explores ideas
Convergent — narrows to a verdict Divergent — widens the option space
Output: graded verdict + evidence Output: directions / spec
Single explicit assumption in Vague problem in

The Three Iron Laws

LAW 1: NO VERDICT WITHOUT EVIDENCE
       A graded conclusion must cite the sources/observations behind it.

LAW 2: SEEK REFUTATION, NOT JUST CONFIRMATION
       At least one selected method must actively try to disprove the assumption.

LAW 3: THE VERDICT IS ADVISORY
       Output a recommendation, never a mandate. The maintainer decides.

Hard Gates

GATE 0: PREFLIGHT MUST COMPLETE BEFORE GREETING.
        Scan project context silently. No output until greeting.

GATE 1: NO RESEARCH without a confirmed, operationalized assumption.
        Phase 1 ends with the user confirming the restated, falsifiable question.
        Silence or vague approval is not confirmation.

GATE 2: AT LEAST ONE REFUTATION METHOD selected (Law 2).
        A research run that only seeks confirmation is invalid.

GATE 3: CURATION GATE before grading.
        After evidence is gathered, run the curation pass (advisor) — see Phase 4.
        Do not grade straight from raw evidence.

GATE 4: VERDICT MUST BE GRADED + ADVISORY.
        Confirmed / Refuted / Inconclusive, with cited evidence, framed non-binding.

Read the full file on GitHub · 205 lines

Files

What ships with it

2 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. 7d ago First seen · 205 lines · 147 tokens per session scan A 4497e38c91cb

Subscribe to this mod's changes

structured-research is a skill published in the GitHub repository rfxlamia/pocketto (5 stars, last pushed 15d ago), licensed MIT. It adds 147 tokens to every session and 2,069 once invoked, about $0.0007 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.