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/commands/mrmyothet/zach-hair-studio/gsd-ns-context)<a href="https://agentmods.dev/commands/mrmyothet/zach-hair-studio/gsd-ns-context"><img src="https://agentmods.dev/badge/commands/mrmyothet/zach-hair-studio/gsd-ns-context/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/commands/mrmyothet/zach-hair-studio/gsd-ns-context"><img src="https://agentmods.dev/badge/commands/mrmyothet/zach-hair-studio/gsd-ns-context.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 | $0.00017 | $0.00254 |
| Opus 5 | $0.00009 | $0.00127 |
| Sonnet 5 | $0.00003 | $0.00051 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
gsd-context 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 9d 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.
What it actually says
Route to the appropriate codebase-intelligence skill based on the user's intent.
gsd-scan and gsd-intel were folded into gsd-map-codebase flags by #2790.
| User wants | Invoke |
|---|---|
| Map the full codebase structure | gsd-map-codebase |
| Quick lightweight codebase scan | gsd-map-codebase --fast |
| Query mapped intelligence files | gsd-map-codebase --query |
| Generate a knowledge graph | gsd-graphify |
| Update project documentation | gsd-docs-update |
| Extract learnings from a completed phase | gsd-extract-learnings |
| Recall prior decisions and patterns before planning | gsd-mempalace-recall |
| File a phase artifact into MemPalace | gsd-mempalace-capture |
Invoke the matched skill directly using the Skill tool.
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.
- 9d ago First seen · 26 lines · 17 tokens per session scan A 011c44e7aa46
gsd-context is a command published in the GitHub repository mrmyothet/zach-hair-studio (11 stars, last pushed 28d ago), licensed MIT. It adds 17 tokens to every session and 254 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 2026-09-03.
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