GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Absorb external research reports/papers into structured, retrievable hypothesis cues via FactorMiner's Report-to-Memory Absorption (RMA) service — an OHLCV-eligibility gate, a mechanism-family…
Install Research Ingestion
$ npx skills add minihellboy/factorminer --skill research-ingestion -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install minihellboy/factorminer research-ingestion --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/minihellboy/factorminer.git skills-src && mkdir -p .claude/skills && cp -r skills-src/integrations/factor-researcher/plugin/skills/research-ingestion .claude/skills/research-ingestion && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "research-ingestion" agent skill from https://github.com/minihellboy/factorminer/tree/main/integrations/factor-researcher/plugin/skills/research-ingestion into .claude/skills/research-ingestion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-ingestion", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/minihellboy/factorminer/tree/main/integrations/factor-researcher/plugin/skills/research-ingestionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add minihellboy/factorminer --skill research-ingestion -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install minihellboy/factorminer research-ingestion --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minihellboy/factorminer.git skills-src && mkdir -p .agents/skills && cp -r skills-src/integrations/factor-researcher/plugin/skills/research-ingestion .agents/skills/research-ingestion && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "research-ingestion" agent skill from https://github.com/minihellboy/factorminer/tree/main/integrations/factor-researcher/plugin/skills/research-ingestion into .agents/skills/research-ingestion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-ingestion", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add minihellboy/factorminer --skill research-ingestion -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install minihellboy/factorminer research-ingestion --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minihellboy/factorminer.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/integrations/factor-researcher/plugin/skills/research-ingestion .cursor/skills/research-ingestion && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "research-ingestion" agent skill from https://github.com/minihellboy/factorminer/tree/main/integrations/factor-researcher/plugin/skills/research-ingestion into .cursor/skills/research-ingestion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-ingestion", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/minihellboy/factorminer.git --path integrations/factor-researcher/plugin/skills/research-ingestion--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add minihellboy/factorminer --skill research-ingestion -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install minihellboy/factorminer research-ingestion --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minihellboy/factorminer.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/integrations/factor-researcher/plugin/skills/research-ingestion .gemini/skills/research-ingestion && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "research-ingestion" agent skill from https://github.com/minihellboy/factorminer/tree/main/integrations/factor-researcher/plugin/skills/research-ingestion into .gemini/skills/research-ingestion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-ingestion", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install minihellboy/factorminer research-ingestionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add minihellboy/factorminer --skill research-ingestion -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/minihellboy/factorminer.git skills-src && mkdir -p .github/skills && cp -r skills-src/integrations/factor-researcher/plugin/skills/research-ingestion .github/skills/research-ingestion && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "research-ingestion" agent skill from https://github.com/minihellboy/factorminer/tree/main/integrations/factor-researcher/plugin/skills/research-ingestion into .github/skills/research-ingestion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-ingestion", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add minihellboy/factorminer --skill research-ingestion -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install minihellboy/factorminer research-ingestion --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minihellboy/factorminer.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/integrations/factor-researcher/plugin/skills/research-ingestion .opencode/skills/research-ingestion && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "research-ingestion" agent skill from https://github.com/minihellboy/factorminer/tree/main/integrations/factor-researcher/plugin/skills/research-ingestion into .opencode/skills/research-ingestion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-ingestion", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
research-ingestion- GitHub stars
- 123
- Token cost
- ~884 tokens
- SKILL.md length
- 370 words
- Files
- 1
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- MIT
At a glance
Absorb external research reports/papers into structured, retrievable hypothesis cues via FactorMiner's Report-to-Memory Absorption (RMA) service — an OHLCV-eligibility gate, a mechanism-family…
- Works in 3 steps: Ingest a research note → Read the classification → Hand off to mining
- Turn a report fragment into a research hypothesis before mining
- SKILL.md covers Why absorption instead of raw…, The A/B/C pipeline, Workflow and Guardrails, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Research Ingestion is an agent skill from minihellboy/factorminer. Absorb external research reports/papers into structured, retrievable hypothesis cues via FactorMiner's Report-to-Memory Absorption (RMA) service — an OHLCV-eligibility gate, a mechanism-family classifier, and research-path cues that feed factor generation prompts. Use to turn a report fragment into a research hypothesis before mining, not to mine factors directly. Triggers on "ingest research", "absorb this report", "is this idea OHLCV-representable", "research archetype", "hypothesis cue", "report-to-memory"…
Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Deep research. The repository describes itself as: A Self-Evolving Agent with Skills and Experience Memory for Financial Alpha Discovery. The licence is MIT.
When your agent uses it
- Turn a report fragment into a research hypothesis before mining
- Not to mine factors directly
- Ingest research
- Absorb this report
Example prompts
- “ingest research”
- “absorb this report”
- “is this idea OHLCV-representable”
- “/research-ingestion”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 75e0560. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Research Ingestion loads about 884 tokens when it runs. Until then it costs about 135 tokens; SKILL.md has 370 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from minihellboy/factorminer at commit 75e0560, republished under its MIT licence (© minihellboy). 370 words, ~884 tokens.
Download SKILL.mdSave it as
.claude/skills/research-ingestion/SKILL.md (or your agent's skills folder).- name
- research-ingestion
- description
- Absorb external research reports/papers into structured, retrievable hypothesis cues via FactorMiner's Report-to-Memory Absorption (RMA) service — an OHLCV-eligibility gate, a mechanism-family classifier, and research-path cues that feed factor generation prompts. Use to turn a report fragment into a research hypothesis before mining, not to mine factors directly. Triggers on "ingest research", "absorb this report", "is this idea OHLCV-representable", "research archetype", "hypothesis cue", "report-to-memory", "RMA".
Research Ingestion
This skill runs FactorMiner's Report-to-Memory Absorption (RMA) service — a scoped-down implementation of the RMA layer from XAlpha (arXiv:2607.08332): it screens external research fragments for OHLCV-representability, classifies the survivors into a broad mechanism family, and extracts reusable research-path hypothesis cues. It does not mine, generate, or backtest factors; it turns raw research text into structured input for factor-mining's generation prompts.
Why absorption instead of raw text
Feeding report text directly into a generation prompt lets ungrounded or OHLCV-infeasible claims (analyst EPS revisions, order-book microstructure, fundamentals) leak into hypothesis generation. RMA gates every fragment first, so only price/volume-representable mechanisms reach the mining loop.
The A/B/C pipeline
| Layer | Question | Output |
|---|---|---|
| A (eligibility) | Can this mechanism be observed, inferred, or proxied from daily OHLCV bars alone? | KEEP/DROP + reason |
| B (mechanism family) | Which broad mechanism bucket does it belong to? | One of factorminer.architecture.families.MECHANISM_FAMILIES |
| C (archetype) | What's the reusable research cue? | A ResearchArchetype record with research_paths |
DROPped fragments (fundamentals, analyst estimates, order-book state, news/sentiment, macro releases) are discarded — they are not representable under the daily OHLCV factor contract.
Workflow
1. Ingest a research note
factorminer ingest-research path/to/report_fragment.txtAdd --mock to run offline with the deterministic mock LLM provider (no API calls) — useful for smoke tests, never as a research result.
2. Read the classification
The command prints the KEEP/DROP verdict and reason. For a KEPT fragment it also prints the assigned mechanism family, fine-grained family, mechanism role, and research-path cues.
Show full SKILL.md (137 more words)Show less
3. Hand off to mining
The resulting ResearchArchetype records are meant to be threaded into PromptContextBuilder.build(..., research_archetypes=[...]) so factor-mining's generation prompts carry the research-path text alongside memory and family context. Absorption itself never calls the mining loop — invoke factor-mining separately once you have archetypes worth exploring.
Guardrails
- A-layer eligibility is a feasibility gate, not a quality signal — a KEPT fragment is not yet a validated hypothesis, only one that could become an OHLCV factor.
- Never present a
ResearchArchetype'sresearch_pathsas a factor formula; it is a hypothesis cue forfactor-mining, not executable code. --mockclassification is deterministic keyword heuristics, not real research judgment — never cite mock output as evidence.
MCP alternative
When the FactorMiner MCP server is connected, ingest_research_note exposes the same workflow as a tool, returning the KEEP/DROP verdict and (for KEEP) the archetype record directly.
© minihellboy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in integrations/factor-researcher/plugin/skills/research-ingestion of minihellboy/factorminer.
Open the folder on GitHubat commit 75e0560
Compare with similar skills
Research Ingestion next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Research Ingestion this skillminihellboy/factorminer | 123 | — | ~884 | Automated safety check: Pass | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 83k | 5 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Deep Research WorkflowTokenRhythm/opensquilla | 7.1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| X Researchrohunvora/x-research-skill | 1.2k | 1 repos | ~1.6k | Automated safety check: Pass | None | |
| Deep Researchsanjay3290/ai-skills | 431 | 10 repos | ~683 | Automated safety check: Notes | Apache-2.0 | |
| ResearchWeizhena/Deep-Research-skills | 2.3k | 3 repos | ~1.1k | Automated safety check: Pass | MIT |
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Runs a two-axis deep research method on a product, company, concept or person: its full history over time, compared with peers today, delivered as a typeset PDF report.
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Related
Categories
Questions about Research Ingestion
What does Research Ingestion do?
Absorb external research reports/papers into structured, retrievable hypothesis cues via FactorMiner's Report-to-Memory Absorption (RMA) service — an OHLCV-eligibility gate, a mechanism-family…. Research Ingestion is an agent skill from minihellboy/factorminer. Absorb external research reports/papers into structured, retrievable hypothesis cues via FactorMiner's Report-to-Memory Absorption (RMA) service — an OHLCV-eligibility gate, a mechanism-family classifier, and research-path cues that feed factor generation prompts.
When should I use Research Ingestion?
Research Ingestion fits situations like: turn a report fragment into a research hypothesis before mining; not to mine factors directly; ingest research; absorb this report.
How do I install Research Ingestion in Claude Code?
Run `npx skills add minihellboy/factorminer --skill research-ingestion -a claude-code`. Or copy the skill folder (integrations/factor-researcher/plugin/skills/research-ingestion in minihellboy/factorminer) into .claude/skills/research-ingestion in your project. Claude Code loads it when a task matches its description.
How do I install Research Ingestion in Codex?
Run `npx skills add minihellboy/factorminer --skill research-ingestion -a codex`. Or copy the skill folder (integrations/factor-researcher/plugin/skills/research-ingestion in minihellboy/factorminer) into .agents/skills/research-ingestion in your project. Codex loads it when a task matches its description.
Can I use Research Ingestion in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add minihellboy/factorminer --skill research-ingestion -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-ingestion, .gemini/skills/research-ingestion, .github/skills/research-ingestion and .opencode/skills/research-ingestion in your project.
What does Research Ingestion need to run?
SKILL.md names no scripts, command-line tools or credentials: Research Ingestion is instructions for the agent only.
Does Research Ingestion access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Research Ingestion safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Research Ingestion use?
Research Ingestion is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Research Ingestion use?
About 884 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Research Ingestion?
Skills that share tags, products or a category with Research Ingestion: GitHub Deep Research (bytedance/deer-flow, 83k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), X Research (rohunvora/x-research-skill, 1.2k stars) and Deep Research (sanjay3290/ai-skills, 431 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Research Ingestion?
minihellboy (a GitHub user) maintains it in minihellboy/factorminer, which has 123 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 28, 2026.
Source: minihellboy/factorminer on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.