Borrowing it
Nothing to install: this file belongs to RipeMangoBox/BITE. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/RipeMangoBox/BITE/main/.claude/skills/research-workflow/SKILL.mdgit clone --depth 1 https://github.com/RipeMangoBox/BITEWrote 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.
[](https://agentmods.dev/skills/ripemangobox/bite/research-workflow)<a href="https://agentmods.dev/skills/ripemangobox/bite/research-workflow"><img src="https://agentmods.dev/badge/skills/ripemangobox/bite/research-workflow/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.
<a href="https://agentmods.dev/skills/ripemangobox/bite/research-workflow"><img src="https://agentmods.dev/badge/skills/ripemangobox/bite/research-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00069 | $0.01206 |
| Opus 5.5 | $0.00028 | $0.00482 |
| Sonnet 5.5 | $0.00014 | $0.00241 |
| Haiku 4.5 | $0.00007 | $0.00121 |
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 1mo 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.
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.csvconvention. - 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.
- Ask the user for the PDF folder path, category/sort hint, and venue/year
hint. Use the local vault layout and
- collect
papers-collect-from-webpapers-collect-from-github-repo
- download
papers-download-from-list
- analyze
- default route:
scripts/run_local_paper_analysis.pyformal 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 Downloadedwrites per-row results underobsidian-vault/batches/<run_id>/and leavespaper_list.csvunchanged until reviewed consolidation. - note: after analyze, you can go directly to query; run build only if you need refreshed indexes
- default route:
- build
papers-build-index(refreshes bothobsidian-vault/index/index.jsonlfor 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
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.
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.
- 1mo ago First seen · 139 lines · 69 tokens per session scan A a332fb274a49
research-workflow is a skill published in the GitHub repository RipeMangoBox/BITE (62 stars, last pushed 2mo ago), licensed MIT. It adds 69 tokens to every session and 1,206 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
llm-wiki
Explain and apply the foundational LLM Wiki architecture and knowledge-management strategy. Use for setup, architecture, schema, or organization decisions; operational ingest/query/lint work uses dedicated skills.
wiki-lint
Audit wiki health: broken links, orphans, contradictions, stale content, lifecycle and tag issues. Use for maintenance or health checks. Default is report-only; use wiki-dedup for page-identity merges.
wiki-export
Export the Obsidian wiki graph to JSON, GraphML, Neo4j Cypher, Postgres/SQL, HTML, or OKF bundles. Use when transferring or visualizing wiki data in external tools; wiki-import handles the reverse direction.
wiki-status
Report wiki ingestion/completeness state, pending source delta, structural insights, or maintenance equilibrium. Use for remaining-work/status questions, hubs and bridges, or whether maintenance skills still have pending changes. wiki-digest summarizes learned knowledge instead.
wiki-query
Search and synthesize answers from the compiled Obsidian wiki, including cited and multi-hop answers. Use for questions about existing wiki knowledge or fast index-only lookups, and for challenge requests ("challenge this", "argue against X", "poke holes in my plan") that look for the vault's own evidence against a…
wiki-import
Import a wiki graph into the current vault from graph.json or an OKF/markdown bundle. Use for transferring previously exported wiki content between vaults; pair with wiki-export for the reverse direction.