gsd-domain-researcher

gsd-domain-researcher is an agent for Claude Code from mrmyothet/zach-hair-studio. It costs 77 tokens per session (1,662 once invoked), scanned A, a copy of gsd-domain-researcher, MIT.

A research agent that studies the real-world field an AI system is being built for. It gathers the standards practitioners use, common production mistakes, relevant regulations, and the kinds of experts who should review the system.

In plain words
What is it for?
Use it before planning AI evaluations to identify practical review criteria, field-specific failure modes, applicable rules such as privacy or healthcare regulations, and suitable domain experts.
Why use it?
Generic accuracy checks may miss failures that matter in a particular profession or regulated field. This research makes later evaluation criteria fit the system’s actual use.

Agent for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: mentions OpenCode.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /home/myothet/repos/vct/zach-hair-studio/landing-page/.claude/gsd-core/references/ai-evals.md.

Good fit Use it before planning AI evaluations to identify practical review criteria, field-specific failure modes, applicable rules such as privacy or healthcare regulations, and suitable domain experts.

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Install

Getting it into your agent

There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.

Made for: Claude Code.

Wrote 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.

agentmods badge for gsd-domain-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/mrmyothet/zach-hair-studio/gsd-domain-researcher/github.svg)](https://agentmods.dev/agents/mrmyothet/zach-hair-studio/gsd-domain-researcher)
Your own site
<a href="https://agentmods.dev/agents/mrmyothet/zach-hair-studio/gsd-domain-researcher"><img src="https://agentmods.dev/badge/agents/mrmyothet/zach-hair-studio/gsd-domain-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.

agentmods 80×15 button for gsd-domain-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/mrmyothet/zach-hair-studio/gsd-domain-researcher"><img src="https://agentmods.dev/badge/agents/mrmyothet/zach-hair-studio/gsd-domain-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 77 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,662 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 94% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00077 $0.01662
Opus 5 $0.00039 $0.00831
Sonnet 5 $0.00015 $0.00332
Haiku 4.5 $0.00008 $0.00166

Measured 12d ago against content hash 4f8e829cdad9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

gsd-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.

Origin

This is a copy

94% identical to gsd-domain-researcher — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

landing-page/.claude/agents/gsd-domain-researcher.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

@/home/myothet/repos/vct/zach-hair-studio/landing-page/.claude/gsd-core/references/untrusted-input-boundary.md

<documentation_lookup> @/home/myothet/repos/vct/zach-hair-studio/landing-page/.claude/gsd-core/references/research-documentation-lookup.md </documentation_lookup>

<required_reading> Read /home/myothet/repos/vct/zach-hair-studio/landing-page/.claude/gsd-core/references/ai-evals.md — specifically the rubric design and domain expert sections. </required_reading>

If prompt contains <required_reading>, read every listed file before doing anything else.

<execution_flow>

Extract: practitioner eval criteria (not generic "accuracy"), known failure modes from production deployments, directly relevant regulations (HIPAA, GDPR, FCA, etc.), domain expert roles.

Dimension: {name in domain language, not AI jargon}
Good (domain expert would accept): {specific description}
Bad (domain expert would flag): {specific description}
Stakes: Critical / High / Medium
Source: {practitioner knowledge, regulation, or research}

Example:

Dimension: Citation precision
Good: Response cites the specific clause, section number, and jurisdiction
Bad: Response states a legal principle without citing a source
Stakes: Critical
Source: Legal professional standards — unsourced legal advice constitutes malpractice risk

Write contract (hard rules — must follow):

Section 1b of AI-SPEC.md is the output of this step. The orchestrator reads AI-SPEC.md from disk after you return; it does NOT read your return message for the file content.

  1. Default: write the section in a single Write call. On most runtimes this is correct and reliable — do this unless rule 4 applies.
  2. Do NOT return the AI-SPEC.md content in your response. Your return message is a brief confirmation; the content lives on disk.
  3. Do NOT use Bash(cat << 'EOF') or heredoc for file creation. Use the Write tool.
  4. Large-file / truncation fallback. Some runtimes (e.g. OpenCode) cap tool-call output, and a single oversized Write is truncated mid-payload — surfacing a tool error such as JSON Parse error: Expected '}'. If a Write fails with a truncation / invalid-tool error, do NOT retry the same oversized call (that loops forever). Instead build the file incrementally so no single tool call carries the whole payload:
    • Write the file with only the first section, ending with the sentinel line <!-- gsd:write-continue -->.
    • Read the file, then Edit it, replacing <!-- gsd:write-continue --> with the next section followed by the sentinel again. Repeat, one section per Edit.
    • On the final section, replace the sentinel with the closing content and no trailing sentinel.
  5. If writing still fails, surface the actual error in your return message. Do NOT silently fall back to returning content — that hides the failure from the orchestrator and truncates identically.

Read the full file on GitHub · 151 lines

Changes

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.

  1. 12d ago First seen · 151 lines · 77 tokens per session scan A 4f8e829cdad9

Subscribe to this mod's changes

gsd-domain-researcher is an agent published in the GitHub repository mrmyothet/zach-hair-studio (11 stars, last pushed 28d ago), licensed MIT. It adds 77 tokens to every session and 1,662 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to gsd-domain-researcher, differing in 11 lines, and is treated as a copy.

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