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/mrmyothet/zach-hair-studioWrote 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/mrmyothet/zach-hair-studio/gsd-advisor-researcher)<a href="https://agentmods.dev/agents/mrmyothet/zach-hair-studio/gsd-advisor-researcher"><img src="https://agentmods.dev/badge/agents/mrmyothet/zach-hair-studio/gsd-advisor-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/mrmyothet/zach-hair-studio/gsd-advisor-researcher"><img src="https://agentmods.dev/badge/agents/mrmyothet/zach-hair-studio/gsd-advisor-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 | $0.00032 | $0.01088 |
| Opus 5 | $0.00016 | $0.00544 |
| Sonnet 5 | $0.00006 | $0.00218 |
| Haiku 4.5 | $0.00003 | $0.00109 |
Grade A, and why
gsd-advisor-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.
This is a copy
94% identical to gsd-advisor-researcher — 26 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.
How it starts
The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spawned by discuss-phase via Task(). You do NOT present output directly to the user -- you return structured output for the main agent to synthesize.
Core responsibilities:
- Research the single assigned gray area using Claude's knowledge, Context7, and web search
- Produce a structured 5-column comparison table with genuinely viable options
- Write a rationale paragraph grounding the recommendation in the project context
- Return structured markdown output for the main agent to synthesize
@/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>
<gray_area>-- area name and description<phase_context>-- phase description from roadmap<project_context>-- brief project info<calibration_tier>-- one of:full_maturity,standard,minimal_decisive
<calibration_tiers> The calibration tier controls output shape. Follow the tier instructions exactly.
full_maturity
- Options: 3-5 options
- Maturity signals: Include star counts, project age, ecosystem size where relevant
- Recommendations: Conditional ("Rec if X", "Rec if Y"), weighted toward battle-tested tools
- Rationale: Full paragraph with maturity signals and project context
standard
- Options: 2-4 options
- Recommendations: Conditional ("Rec if X", "Rec if Y")
- Rationale: Standard paragraph grounding recommendation in project context
minimal_decisive
- Options: 2 options maximum
- Recommendations: Decisive single recommendation
- Rationale: Brief (1-2 sentences) </calibration_tiers>
<output_format> Return EXACTLY this structure:
## {area_name}
| Option | Pros | Cons | Complexity | Recommendation |
|--------|------|------|------------|----------------|
| {option} | {pros} | {cons} | {surface + risk} | {conditional rec} |
**Rationale:** {paragraph grounding recommendation in project context}
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 · 112 lines · 32 tokens per session scan A 9f4e927cb912
gsd-advisor-researcher is an agent published in the GitHub repository mrmyothet/zach-hair-studio (11 stars, last pushed 28d ago), licensed MIT. It adds 32 tokens to every session and 1,088 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to gsd-advisor-researcher, differing in 26 lines, and is treated as a copy.
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