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analysis-loop

analysis-loop is a skill for Claude Code, Codex from flukeatzerocool/infobroker. It costs 169 tokens per session (3,310 once invoked), scanned A, original, MIT.

A structured research workflow that moves from defining a question to collecting sources, analyzing them, and refining the findings. It is based on a cycle used in intelligence and open-source research.

In plain words
What is it for?
Use it for research or investigations that need organized findings, cited sources, and confidence scores. It is not intended for a simple single-source lookup.
Why use it?
It helps prevent vague questions, weak source selection, and conclusions that are not checked against the evidence.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 1repo +1 changed 2d ago A scan 169 tokens original MIT

Good fit Use it for research or investigations that need organized findings, cited sources, and confidence scores. It is not intended for a simple single-source lookup.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/flukeatzerocool/infobroker/analysis-loop
View source ↗ flukeatzerocool/infobroker
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 flukeatzerocool/infobroker --skill analysis-loop
Clone the repo
git clone --depth 1 https://github.com/flukeatzerocool/infobroker

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 analysis-loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/flukeatzerocool/infobroker/analysis-loop/github.svg)](https://agentmods.dev/skills/flukeatzerocool/infobroker/analysis-loop)
Your own site
<a href="https://agentmods.dev/skills/flukeatzerocool/infobroker/analysis-loop"><img src="https://agentmods.dev/badge/skills/flukeatzerocool/infobroker/analysis-loop/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 analysis-loop

Your own site · 80×15
<a href="https://agentmods.dev/skills/flukeatzerocool/infobroker/analysis-loop"><img src="https://agentmods.dev/badge/skills/flukeatzerocool/infobroker/analysis-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 169 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,310 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 $0.00169 $0.03310
Opus 5.5 $0.00068 $0.01324
Sonnet 5.5 $0.00034 $0.00662
Haiku 4.5 $0.00017 $0.00331

Measured 2d ago against content hash 58745a328dcd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

analysis-loop 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 2d 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/analysis-loop/SKILL.md · 369 lines

How it starts

The opening of the file, as written. The whole thing — 369 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analysis Loop

Disciplined research workflow: scope the question → collect and assess sources → analyze and synthesize → disseminate and refine. One question completes its full cycle before the next starts.

When NOT to Use

  • Single-source factual lookup — use search_web directly.
  • The user wants the AI's internal knowledge, not web research.
  • The infobroker skill is already loaded and routed the request to a lighter workflow shape — those handle lighter research. This skill is for when rigor matters.

Phase 0 — Question Scoping

The most important phase. A poorly scoped question produces garbage output regardless of collection quality. Modeled on the Planning & Direction step of the intelligence cycle.

If the user's question is vague

Ask targeted clarifying questions. Use these dimensions:

  1. Intelligence requirement. What decision does this research serve? "I want to know about AI safety" is not scoped. "I need to decide whether to adopt an AI safety policy for our LLM deployment, and I need to know what current regulatory frameworks require" is.

  2. Essential Elements of Information (EEIs). Decompose into specific, answerable sub-questions. Example for "Is Rust ready for kernel development?":

    • Which major kernels/OS projects have merged Rust code?
    • What are the current limitations of Rust in kernel contexts?
    • What toolchain support exists for cross-compilation to kernel targets?
    • What is the community and maintainer stance?

  3. Scope boundaries. State what is explicitly out of scope. Example: "Linux kernel only — not Windows, BSD, or embedded RTOS."

  4. Priority tiering. Classify sub-questions:

    • Must answer — core; research is incomplete without this.
    • Should answer — important context.
    • Could answer — nice-to-have.

  5. Audience and format. Who consumes this? CISO needs executive summary and risk ratings. Engineer needs technical depth. Researcher needs full methodology and citation trail.

Read the full file on GitHub · 369 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. 2d ago Changed 58745a328dcd
  2. 9d ago Changed · +11 lines 73e4dd8e1a33
  3. 16d ago Changed · +8 lines 693503f02056
  4. 2mo ago Changed 26d415bce09f
  5. 2mo ago Changed · +1 lines 7691710fb1c1
  6. 2mo ago First seen · 349 lines · 169 tokens per session scan A c58f7362aa5e

Subscribe to this mod's changes

analysis-loop is a skill published in the GitHub repository flukeatzerocool/infobroker (1 stars, last pushed 2d ago), licensed MIT. It adds 169 tokens to every session and 3,310 once invoked, about $0.0007 per session on Opus 5.5. 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.

Research
Related

analysis-loop compared with skills from other repositories

analysis-loop next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
analysis-loopflukeatzerocool/infobrokerSkill12d agoMITA169Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code