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/spencermarx/obsidian-aiWrote 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/spencermarx/obsidian-ai/post)<a href="https://agentmods.dev/commands/spencermarx/obsidian-ai/post"><img src="https://agentmods.dev/badge/commands/spencermarx/obsidian-ai/post/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/spencermarx/obsidian-ai/post"><img src="https://agentmods.dev/badge/commands/spencermarx/obsidian-ai/post.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 | $0.00011 | $0.00045 |
| Opus 5.5 | $0.00004 | $0.00018 |
| Sonnet 5.5 | $0.00002 | $0.00009 |
| Haiku 4.5 | $0.00001 | $0.00005 |
Grade A, and why
post 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.
This is a copy
100% identical to post — 0 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.
What it actually says
OCR: Post
This command is managed by Open Code Review.
Execute this command by reading and following: .ocr/commands/post.md
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 · 10 lines · 11 tokens per session scan A 88496417db54
post is a command published in the GitHub repository spencermarx/obsidian-ai (49 stars, last pushed 6mo ago), licensed MIT. It adds 11 tokens to every session and 45 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to post, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
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Tool-driven implementation of unresolved PR/MR review comments on GitHub, GitLab or Bitbucket: fetch every comment thread plus the out-of-thread notices (review bodies, bot summaries), evaluate each for technical validity, implement valid ones one at a time with a full validation pass after each, and scan the codebase…
review
project:review.
pr-manager
Comprehensive pull request management with ruv-swarm coordination for automated reviews, testing, and merge workflows.
pr-enhance
Command "pr-enhance" from spencermarx/open-code-review, covering pr-enhance, usage, options, examples and enhance pr.
fix-pr
Fetch and resolve unresolved PR comments.