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 agentmods add skills/dollardill/beads-superpowers/research-driven-developmentnpx skills add DollarDill/beads-superpowers --skill research-driven-developmentgit clone --depth 1 https://github.com/DollarDill/beads-superpowersWrote 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/dollardill/beads-superpowers/research-driven-development)<a href="https://agentmods.dev/skills/dollardill/beads-superpowers/research-driven-development"><img src="https://agentmods.dev/badge/skills/dollardill/beads-superpowers/research-driven-development.svg" alt="Measured on agentmods" 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 | $0.00063 | $0.04477 |
| Opus 5 | $0.00032 | $0.02239 |
| Sonnet 5 | $0.00013 | $0.00895 |
| Haiku 4.5 | $0.00006 | $0.00448 |
Grade A, and why
research-driven-development 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 6d 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research-Driven Development
Dispatch parallel research agents, synthesize their findings, and write a persistent research document. Research is not complete until there is a written artifact — verbal answers without documents are prohibited.
Announce at start: "I'm using the research-driven-development skill to investigate this topic."
When to Use
- User asks a question about a technology, concept, or approach
- User says "research this", "deep dive", "investigate", "look into"
- User asks "what is X", "how does Y work", "compare A vs B"
- Before planning a non-trivial task that requires understanding first
- When you need to understand something before making a decision
When NOT to Use
- User asks about a specific file in the current codebase (just read it)
- The answer is a single fact you already know with certainty
- User explicitly asks for a quick verbal answer
Iron Law
NO RESEARCH WITHOUT A DOCUMENT. Every research task produces a written artifact. Verbal answers without persistent documents are prohibited. If you researched it, write it down.
Grounding Rule
Every load-bearing claim must be grounded by the verify stage (Step 4) before the document is written.
Pipeline
Step 0: Scope check (conditional)
Step 1: Create bead + calibrate effort
Step 2: Check existing knowledge
Step 3: Decompose + dispatch parallel research agents
Step 4: Synthesize + verify findings
Step 4.5: Gap-closing round (if needed)
Step 5: Write document
Step 6: End-gate (top-level only) + close bead
Step 0: Scope Check (conditional)
If the question is already specific, skip this step. Fire it only when you cannot name the sources you'd search or the decision the answer informs — e.g. "research databases" (too vague). Do NOT fire when scope is already present — e.g. "compare Postgres vs SQLite for our embedded Dolt use case". This is disambiguation, not a quality gate — mandatory scope-gating just duplicates what a capable model already does; the "When NOT to Use" list still applies.
What ships with it
3 files 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.
- 6d ago First seen · 270 lines · 63 tokens per session scan A 4ea1637de2d2
research-driven-development is a skill published in the GitHub repository DollarDill/beads-superpowers (26 stars, last pushed 15d ago), licensed MIT. It adds 63 tokens to every session and 4,477 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.
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