research-workflow

A single entry point for managing a research workflow from collecting papers and analysing PDFs to querying, reviewing, and exporting findings.

In plain words
What is it for?
Use it to import local PDFs, collect or download research, build a knowledge base, ask questions, compare papers, develop ideas, focus a topic, review work, audit it, or export results.
Why use it?
It helps you choose the right research stage and existing tool without mixing tasks or losing track of what each stage receives and produces.

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/ripemangobox/bite/research-workflow
Any agent
npx skills add RipeMangoBox/BITE --skill research-workflow
Clone the repo
git clone --depth 1 https://github.com/RipeMangoBox/BITE

Made for: Claude Code, Codex.

Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,206 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 $0.00069 $0.01206
Opus 5 $0.00034 $0.00603
Sonnet 5 $0.00014 $0.00241
Haiku 4.5 $0.00007 $0.00121

Measured 3d ago against content hash a332fb274a49, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

research-workflow 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/research_workflow/research_workflow_entry.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.

.claude/skills/research-workflow/SKILL.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Workflow Entry

Use this as the single entry for local research workflow orchestration. Route to file-based skills and their obsidian-vault/ outputs.

It does not replace underlying skills. It routes to them with a clear stage model.

Stage model

KB build chain:

  • collect / import local PDFs → download when needed → analyze → (optional build)
  • note: there is no dedicated library-sync skill. If the user already has PDFs, ask for the PDF folder path and register/copy them into the local vault layout.

KB usage chain:

  • query (including comparison requests) → ideate → focus → review

Support chain:

  • audit / export / code-context

Purpose

  • Provide one understandable entry point for the full workflow.
  • Support both:
    • step-by-step execution (specify a stage)
    • end-to-end guidance (auto-detect next stage)
  • Clarify each stage's input/output contract.
  • Avoid overlap: orchestration here, execution in existing stage skills.

Stage mapping (reuse existing skills)

  • import local PDFs
    • Ask the user for the PDF folder path, category/sort hint, and venue/year hint. Use the local vault layout and paper_list.csv convention.
    • External libraries such as resmax are imported through an adapter/migration step. Keep their roots explicit; do not add repository-specific defaults to the core analysis runner.
  • collect
    • papers-collect-from-web
    • papers-collect-from-github-repo
  • download
    • papers-download-from-list
  • analyze
    • default route: scripts/run_local_paper_analysis.py formal analysis chain (MinerU parse/reuse → chunk anchor extraction → main analysis JSON → section writers → DeepSeek figure/table placement review → vault export and validation)
    • batch queue route: scripts/run_paper_list_analysis.py --state Downloaded writes per-row results under obsidian-vault/batches/<run_id>/ and leaves paper_list.csv unchanged until reviewed consolidation.
    • note: after analyze, you can go directly to query; run build only if you need refreshed indexes
  • build
    • papers-build-index (refreshes both obsidian-vault/index/index.jsonl for agents and Obsidian navigation pages)
  • query
    • papers-query-knowledge-base (also handles comparison and code-context requests)
  • ideate
    • research-brainstorm-from-kb
  • focus
    • idea-focus-coach (can be used independently; does not depend on ideate output)
  • review
    • reviewer-stress-test (can be used independently; does not depend on focus output)
  • audit
    • papers-audit-metadata-consistency
  • export
    • notes-export-share-version

Read the full file on GitHub · 139 lines

Files

What ships with it

1 file 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 · 139 lines · 69 tokens per session scan A a332fb274a49

Subscribe to this mod's changes

research-workflow is a skill published in the GitHub repository RipeMangoBox/BITE (60 stars, last pushed 20d ago), licensed MIT. It adds 69 tokens to every session and 1,206 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 2026-08-30.