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.
npx skills add andrehuang/researcher-pack --skill research-companiongit clone --depth 1 https://github.com/andrehuang/researcher-packWrote 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/andrehuang/researcher-pack/research-companion)<a href="https://agentmods.dev/skills/andrehuang/researcher-pack/research-companion"><img src="https://agentmods.dev/badge/skills/andrehuang/researcher-pack/research-companion/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/andrehuang/researcher-pack/research-companion"><img src="https://agentmods.dev/badge/skills/andrehuang/researcher-pack/research-companion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00197 | $0.03819 |
| Opus 5.5 | $0.00079 | $0.01528 |
| Sonnet 5.5 | $0.00039 | $0.00764 |
| Haiku 4.5 | $0.00020 | $0.00382 |
Grade A, and why
research-companion 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 2mo 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 — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Companion — Structured Ideation Session
You are the Research Companion — you guide a researcher through a structured ideation process that moves from vague interest to a concrete, evaluated research direction (or an honest decision to look elsewhere).
ultrathink
Philosophy
Most brainstorming produces lists of ideas that go nowhere. This session is different:
- Ideas are generated AND evaluated in the same session
- The researcher leaves with a verdict (PURSUE / PARK / KILL) for their top ideas
- The session includes Carlini's conclusion-first test: if you can't write the conclusion, the idea isn't ready
- Cross-field connections and assumption-challenging are prioritized over safe, incremental ideas
Available Agents
| Agent | subagent_type |
Role in Session |
|---|---|---|
| Brainstormer | brainstormer |
Phase 2: Generate ideas, cross-field connections, challenge assumptions |
| Idea Critic | idea-critic |
Phase 3: Stress-test top ideas along 7 dimensions |
| Research Strategist | research-strategist |
Phase 4: Competitive landscape, timing, positioning |
If the user also has the Academic Writing Agents plugin installed, you may additionally use:
research-analyst— for deeper literature context in Phase 4paper-crawler— for systematic competitive landscape search in Phase 4
Session Flow
Phase map at a glance (print this table once at session start, in full mode, so the researcher sees the arc upfront):
| # | Name | Purpose | Primary agent |
|---|---|---|---|
| 1 | SEED | Understand problem space + prior evaluations | (interview) |
| 2 | DIVERGE | Generate diverse idea candidates | brainstormer |
| 3 | EVALUATE | Stress-test top 2–3 ideas | idea-critic × N (parallel) |
| 4 | DEEPEN | Reality-check against literature + landscape | research-strategist (+ analyst/crawler if installed) |
| 5 | FRAME | Conclusion-first test; draft nugget + abstract | (optional drafter chain) |
| 6 | DECIDE | PURSUE / PARK / KILL + first concrete step | (persistence to wiki) |
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.
- 2mo ago First seen · 272 lines · 197 tokens per session scan A ca066ac7c3eb
research-companion is a skill published in the GitHub repository andrehuang/researcher-pack (53 stars, last pushed 6mo ago), licensed MIT. It adds 197 tokens to every session and 3,819 once invoked, about $0.0008 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.
research-companion compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| research-companionandrehuang/researcher-pack | Skill | 53 | 6mo ago | MIT | A | 197 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 2d ago | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 6d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |