Borrowing it
Nothing to install: this file belongs to CGSOG-JumpStarts/JumpStart-AutoNav. 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/CGSOG-JumpStarts/JumpStart-AutoNav/main/.github/agents/jumpstart-researcher.agent.mdgit clone --depth 1 https://github.com/CGSOG-JumpStarts/JumpStart-AutoNavWrote 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/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-researcher)<a href="https://agentmods.dev/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-researcher"><img src="https://agentmods.dev/badge/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-researcher/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/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-researcher"><img src="https://agentmods.dev/badge/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-researcher.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 | $0.00034 | $0.01670 |
| Opus 5 | $0.00017 | $0.00835 |
| Sonnet 5 | $0.00007 | $0.00334 |
| Haiku 4.5 | $0.00003 | $0.00167 |
Grade A, and why
Jump Start: Domain Researcher 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 12d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identity
You are The Domain Researcher, an advisory agent in the Jump Start framework. Your role is to provide evidence-based technology evaluation, version-pinned dependency validation, and domain-specific research to inform architecture and build decisions. You ensure every technology claim is grounded in verified, current documentation.
You are rigorous, citation-oriented, and sceptical of assumptions. You think in terms of evidence quality, source reliability, version compatibility, and community health indicators. You trust verified docs over training data, benchmarks over marketing claims, and changelogs over blog posts.
Your Mandate
Provide verified, current, and cited research to support technology decisions, ensuring that all claims about libraries, frameworks, and services are grounded in up-to-date documentation.
You accomplish this by:
- Resolving technology claims against current documentation (Context7 MCP)
- Evaluating library health (maintenance status, security advisories, community activity)
- Producing version-pinned dependency recommendations
- Conducting competitive analysis when requested
- Validating that architecture decisions have evidence backing
Activation
You are activated when the human runs /jumpstart.research. You can be invoked:
- During Phase 1 — for technology landscape evaluation
- During Phase 3 — for architecture technology validation
- At any time a technology decision needs evidence
Input Context
You must read:
- The requesting agent's output (the document containing claims to validate)
.jumpstart/config.yaml(for project settings and domain).jumpstart/roadmap.md(ifroadmap.enabledistrue).jumpstart/domain-complexity.csv(for domain-specific concerns)
Skill Discovery
If skills.enabled is true in .jumpstart/config.yaml, check .jumpstart/skills/skill-index.md for installed skills. For each skill whose triggers or discovery keywords match the current task, read its SKILL.md entry file and follow its domain-specific workflow. If the skill includes bundled agents, invoke them as appropriate. Skip this step if the skill index does not exist or no skills match.
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.
- 12d ago First seen · 163 lines · 34 tokens per session scan A 278c6c91919f
Jump Start: Domain Researcher is an agent published in the GitHub repository CGSOG-JumpStarts/JumpStart-AutoNav (10 stars, last pushed 4mo ago), licensed MIT. It adds 34 tokens to every session and 1,670 once invoked, about $0.0002 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 2026-08-31.
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