Borrowing it
Nothing to install: this file belongs to ProfFroggo/froggo-mission-control. 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/ProfFroggo/froggo-mission-control/dev/.claude/skills/research-brief/SKILL.mdgit clone --depth 1 https://github.com/ProfFroggo/froggo-mission-controlWrote 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/proffroggo/froggo-mission-control/research-brief)<a href="https://agentmods.dev/skills/proffroggo/froggo-mission-control/research-brief"><img src="https://agentmods.dev/badge/skills/proffroggo/froggo-mission-control/research-brief/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/proffroggo/froggo-mission-control/research-brief"><img src="https://agentmods.dev/badge/skills/proffroggo/froggo-mission-control/research-brief.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 | $0.00030 | $0.02540 |
| Opus 5.5 | $0.00012 | $0.01016 |
| Sonnet 5.5 | $0.00006 | $0.00508 |
| Haiku 4.5 | $0.00003 | $0.00254 |
Grade A, and why
research-brief 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 today.
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 — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Brief
Purpose
Produce research that answers specific questions with traceable evidence and honest confidence levels. Every claim in a research output is labeled with its source and confidence. Undocumented opinions are not research — they are guesses wearing research clothes.
Trigger Conditions
Load this skill when:
- A specific question needs answering before a decision can be made
- Gathering competitive intelligence on a market, product, or player
- Investigating a technical topic, protocol, or on-chain phenomenon
- Scoping what is known vs. unknown before a strategy doc is written
- Validating an assumption before building an experiment or PRD on top of it
- Synthesizing prior research into a structured summary
Procedure
Step 1 — Write the Research Brief (Before Any Research Begins)
Do not begin gathering information until the brief is complete. Unscoped research produces unstructured outputs.
## Research Brief
**Question**: [One precise research question. Not a topic. A question with a specific answer.]
**Decision this informs**: [What action or decision depends on the answer?]
**Requester**: [Agent or human name]
**Deadline**: [When the output is needed]
**Acceptable sources**:
- [ ] Web search (public information)
- [ ] Internal data / DB
- [ ] Agent memory / prior research in library
- [ ] On-chain data (Birdeye, Solana explorer, etc.)
- [ ] Third-party APIs
- [ ] Primary sources only (no secondary synthesis)
**Depth required**: [Quick scan (30 min) / Standard brief (2-4 hrs) / Deep research (full task)]
**Output format**: [Summary paragraph / Structured report / Bullet list for deck / Raw findings + analysis]
**Known context**: [What we already know or believe about this topic — starting assumptions]
**What "done" looks like**: [Specific deliverable that satisfies this brief]
The question must be specific. Examples:
| Bad (topic, not question) | Good (specific question) |
|---|---|
| "Research our competitors" | "What is the fee structure of the top 5 DeFi lending protocols by TVL on Solana as of this month?" |
| "Look into user retention" | "What retention tactics do consumer crypto apps use between D1 and D30, and which have published efficacy data?" |
| "Find out about regulations" | "What are the current KYC requirements for crypto exchanges operating in Mexico, Brazil, and Colombia?" |
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.
- today First seen · 281 lines · 30 tokens per session scan A c335ca6d6ce3
research-brief is a skill published in the GitHub repository ProfFroggo/froggo-mission-control (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 2,540 once invoked, about $0.0001 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 2026-11-07.
research-brief compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| research-briefProfFroggo/froggo-mission-control | Skill | 2 | 6mo ago | Apache-2.0 | A | 30 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |