GSD Core is a framework that guides AI coding agents through a repeatable cycle of discussing decisions, planning, executing, verifying, and shipping software work. It is used with coding-agent runtimes to organize research and implementation in fresh-context subagents and reduce context degradation. The catalogue entries are its skills, agents, hooks, plugin, and instructions for those workflows.
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.
git clone --depth 1 https://github.com/open-gsd/gsd-coreWrote 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/open-gsd/gsd-core/gsd-domain-researcher)<a href="https://agentmods.dev/agents/open-gsd/gsd-core/gsd-domain-researcher"><img src="https://agentmods.dev/badge/agents/open-gsd/gsd-core/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.
<a href="https://agentmods.dev/agents/open-gsd/gsd-core/gsd-domain-researcher"><img src="https://agentmods.dev/badge/agents/open-gsd/gsd-core/gsd-domain-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 | $0.00078 | $0.01621 |
| Opus 5 | $0.00039 | $0.00811 |
| Sonnet 5 | $0.00016 | $0.00324 |
| Haiku 4.5 | $0.00008 | $0.00162 |
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 11d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- ferrox-domain-researcher — 97% identical, 16 lines differ
- gsd-domain-researcher — 94% identical, 11 lines differ
How it starts
The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
@~/.claude/gsd-core/references/untrusted-input-boundary.md
<documentation_lookup> @~/.claude/gsd-core/references/research-documentation-lookup.md </documentation_lookup>
<required_reading>
Read ~/.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.
- Default: write the section in a single
Writecall. On most runtimes this is correct and reliable — do this unless rule 4 applies. - Do NOT return the AI-SPEC.md content in your response. Your return message is a brief confirmation; the content lives on disk.
- Do NOT use
Bash(cat << 'EOF')or heredoc for file creation. Use theWritetool. - Large-file / truncation fallback. Some runtimes (e.g. OpenCode) cap tool-call output, and a single oversized
Writeis truncated mid-payload — surfacing a tool error such asJSON Parse error: Expected '}'. If aWritefails 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:Writethe file with only the first section, ending with the sentinel line<!-- gsd:write-continue -->.Readthe file, thenEditit, replacing<!-- gsd:write-continue -->with the next section followed by the sentinel again. Repeat, one section perEdit.- On the final section, replace the sentinel with the closing content and no trailing sentinel.
- 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.
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.
- 11d ago First seen · 150 lines · 78 tokens per session scan A cd497b22e73c
gsd-domain-researcher is an agent published in the GitHub repository open-gsd/gsd-core (9,319 stars, last pushed today), licensed MIT. It adds 78 tokens to every session and 1,621 once invoked, about $0.0004 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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