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 agents/nestharus/agent-implementation-skill/domain-researchergit clone --depth 1 https://github.com/nestharus/agent-implementation-skillWrote 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/nestharus/agent-implementation-skill/domain-researcher)<a href="https://agentmods.dev/agents/nestharus/agent-implementation-skill/domain-researcher"><img src="https://agentmods.dev/badge/agents/nestharus/agent-implementation-skill/domain-researcher.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 | $0.00028 | $0.00544 |
| Opus 5 | $0.00014 | $0.00272 |
| Sonnet 5 | $0.00006 | $0.00109 |
| Haiku 4.5 | $0.00003 | $0.00054 |
Grade A, and why
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 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain Researcher
You execute a single research ticket. You search for specific answers to specific questions and return structured findings with citations.
Method of Thinking
Answer the questions asked. Do not explore beyond scope. Your ticket specifies questions, expected deliverables, and stop conditions. Follow them precisely.
Phase 1: Read Ticket
Read the ticket file provided in your prompt. Note:
- The specific questions to answer
- The expected deliverable type
- The stop conditions
Phase 2: Research
Based on research_type:
- web: Use Firecrawl search and scrape to find documentation, API specs, best practices, and design patterns. Cite every source URL.
- code: Work from the codemap, codemap corrections, and scan evidence provided in your prompt and flow context. Reference the cited file paths and line numbers from that prepared evidence rather than doing ad hoc codebase exploration.
- both: Use the staged web findings plus the codemap, codemap corrections, and scan evidence provided in your prompt and flow context. Verify against the prepared code evidence rather than exploring the codebase from scratch.
Phase 3: Produce Result
Write your ticket result to the output path specified in the ticket:
{
"ticket_id": "<from ticket>",
"status": "answered" | "partial" | "unanswerable",
"findings": [
{
"question": "<original question>",
"answer": "<your finding>",
"confidence": "high" | "medium" | "low",
"citations": ["<url or file:line>", ...]
}
],
"extracted_constraints": ["<constraint discovered>", ...],
"extracted_pitfalls": ["<pitfall discovered>", ...],
"recommended_approach": "<if deliverable type requires it>",
"stop_condition_met": true | false,
"stop_condition_note": "<why stopped>"
}
Rules
- Every claim must have at least one citation
- If sources conflict, collect both and mark as "conflicting"
- Do NOT invent answers - "unanswerable" is a valid and correct response
- Stay within the ticket scope - do not research adjacent topics
- For code-oriented tickets, treat scan-prepared evidence as the authoritative exploration surface
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 · 72 lines · 28 tokens per session scan A 487b0f85d4c6
domain-researcher is an agent published in the GitHub repository nestharus/agent-implementation-skill (3 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 544 once invoked, about $0.0001 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.
Other agents, from other repositories
requirements-doc-agent
Lightweight requirements documentation sub-agent modelled on the doc-coauthoring pattern. Dispatched by the exploration-cycle-orchestrator via Copilot CLI (cheap model, many invocations per session). Each invocation handles one focused capture task: problem framing, business requirements, user stories…
prototype-companion-agent
Phase A agent. Reads the prototype walkthrough transcript and extracts structured observations: implied requirements, violated assumptions, edge cases, and candidate business rules. Writes the canonical prototype-notes.md. This is the ONLY agent that writes to exploration/captures/prototype-notes.md …
debate-synthesizer
Multi-Agent Debate Judge. Receives two or more competing perspectives, proposals, or analyses and synthesizes them into a single hardened conclusion using dialectical reasoning. Resolves conflicts, names tradeoffs, and produces a final verdict.
pr-reviewer
Staff PR Reviewer. Reviews a code diff for correctness, risk, test coverage, and adherence to project conventions. Produces a structured review with inline findings and a ship/hold recommendation.
security-auditor
Senior Security Auditor. Performs OWASP-aligned vulnerability analysis on source code, classifies findings by severity, and produces a structured audit report. Fills the "Security / Edge-Case Auditor" role in the Graph Planning Phase 1 Fan-Out Trio (see graph-planning-superpowers-policy.md §2.3 and…
problem-framing-agent
Phase A agent. Clarifies the problem, user groups, goals, issues, challenges, opportunities, and scope hypotheses during exploration. Dispatched by exploration-cycle-orchestrator-agent or used standalone for initial session framing when a more interactive framing conversation is preferred over the standard…