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/febradc-github/turnstileWrote 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/febradc-github/turnstile/obsidian-graph)<a href="https://agentmods.dev/commands/febradc-github/turnstile/obsidian-graph"><img src="https://agentmods.dev/badge/commands/febradc-github/turnstile/obsidian-graph/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/febradc-github/turnstile/obsidian-graph"><img src="https://agentmods.dev/badge/commands/febradc-github/turnstile/obsidian-graph.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 | $0.00028 | $0.00058 |
| Opus 5.5 | $0.00011 | $0.00023 |
| Sonnet 5.5 | $0.00006 | $0.00012 |
| Haiku 4.5 | $0.00003 | $0.00006 |
Grade A, and why
obsidian-graph 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 1mo 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
Use the Skill tool to invoke the turnstile-obsidian-graph skill.
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.
- 1mo ago First seen · 7 lines · 28 tokens per session scan A e9fcbbc18b23
obsidian-graph is a command published in the GitHub repository febradc-github/turnstile (1 stars, last pushed 2mo ago), licensed MIT. It adds 28 tokens to every session and 58 once invoked, about $0.0001 per session on Opus 5.5. 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 commands, from other repositories
set-context
Set the client context so all subsequent analyses are automatically tailored — store client name, industry, size, geography, and key facts.
learn
Distill a finished conversation into classified knowledge candidates and propose (never auto-apply) memory writes or a new-skill hand-off. Closes the loop between a completed agent chain and the persistent memory system.
context
Analyze and optimize Claude Code's context configuration (analyze, optimize, or reset).
resume
Resume a programme from its durable ledger.
relay
A command that creates a copyable handoff prompt for continuing a project in another chat, with another AI, or on another device.
recall-save
Generate / overwrite .recall/context.md with Recall's local offline summarizer.