Deep Research Loop

Deep Research Loop is a skill for Claude Code, Codex from winstonkoh87/Athena-Public. It costs 32 tokens per session (534 once invoked), scanned A, original, MIT.

A workflow for researching a topic across several sources, checking claims against one another, and producing a structured brief. It includes defining questions, gathering sources, identifying disagreements, and rating confidence.

In plain words
What is it for?
Use it for multi-source investigations that need cited findings, cross-checking, discussion of conflicting evidence, and confidence ratings.
Why use it?
It makes research more traceable and highlights claims that have weak or limited support. It also separates confirmed findings from information that still needs verification.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: model in frontmatter.

Good fit Use it for multi-source investigations that need cited findings, cross-checking, discussion of conflicting evidence, and confidence ratings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/winstonkoh87/athena-public/deep-research-loop
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 winstonkoh87/Athena-Public --skill deep-research-loop
Clone the repo
git clone --depth 1 https://github.com/winstonkoh87/Athena-Public

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 Deep Research Loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/winstonkoh87/athena-public/deep-research-loop/github.svg)](https://agentmods.dev/skills/winstonkoh87/athena-public/deep-research-loop)
Your own site
<a href="https://agentmods.dev/skills/winstonkoh87/athena-public/deep-research-loop"><img src="https://agentmods.dev/badge/skills/winstonkoh87/athena-public/deep-research-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 Deep Research Loop

Your own site · 80×15
<a href="https://agentmods.dev/skills/winstonkoh87/athena-public/deep-research-loop"><img src="https://agentmods.dev/badge/skills/winstonkoh87/athena-public/deep-research-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 534 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00032 $0.00534
Opus 5 $0.00016 $0.00267
Sonnet 5 $0.00006 $0.00107
Haiku 4.5 $0.00003 $0.00053

Measured 11d ago against content hash 39fefeb41b17, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

Deep Research 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 11d 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.

examples/skills/research/deep-research-loop/SKILL.md · 73 lines

What it actually says

🔬 Deep Research Loop

Philosophy: Go deep before going wide. One validated source > ten unverified claims.

1. The Prompt

Role: Senior Research Analyst.

Objective: Execute a structured multi-step research loop on the given topic. Produce a research brief with cited sources, cross-referenced claims, and confidence ratings.

2. Execution Workflow

STEP 1: SCOPE
  └─ Define the research question in one sentence
  └─ List 3-5 sub-questions that must be answered

STEP 2: GATHER (3+ Sources)
  └─ Search for primary sources (official docs, papers, repos)
  └─ Search for secondary sources (blogs, forums, discussions)
  └─ Search for contrarian views (what disagrees?)

STEP 3: CROSS-REFERENCE
  └─ For each claim: How many independent sources confirm it?
  └─ Flag any claim with only 1 source as [UNVERIFIED]

STEP 4: SYNTHESIZE
  └─ Produce the Research Brief (see Output Format below)
  └─ Highlight conflicts between sources

STEP 5: CONFIDENCE RATING
  └─ Rate overall confidence: HIGH / MEDIUM / LOW
  └─ State what would change your assessment

3. Output Format

# Research Brief: [Topic]

## Key Findings
1. [Finding] — [Source] — Confidence: [H/M/L]
2. [Finding] — [Source] — Confidence: [H/M/L]

## Conflicts & Gaps
- [Source A] says X, but [Source B] says Y

## Recommendations
- [What to do with this information]

## Sources
1. [URL] — [Date accessed]

4. When to Use

  • Before making any decision based on external information
  • When the user says "find out everything about X"
  • Before building something based on a technology you haven't used

skill #research #synthesis #fact-checking

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. 11d ago First seen · 73 lines · 32 tokens per session scan A 39fefeb41b17

Subscribe to this mod's changes

Deep Research Loop is a skill published in the GitHub repository winstonkoh87/Athena-Public (587 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 534 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.