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.
npx agentmods add skills/eobarretooo/clawlite/obsidiannpx skills add eobarretooo/ClawLite --skill obsidiangit clone --depth 1 https://github.com/eobarretooo/ClawLiteWrote 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/skills/eobarretooo/clawlite/obsidian)<a href="https://agentmods.dev/skills/eobarretooo/clawlite/obsidian"><img src="https://agentmods.dev/badge/skills/eobarretooo/clawlite/obsidian.svg" alt="Measured on agentmods" 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 | $0.00020 | $0.00416 |
| Opus 5 | $0.00010 | $0.00208 |
| Sonnet 5 | $0.00004 | $0.00083 |
| Haiku 4.5 | $0.00002 | $0.00042 |
Grade A, and why
obsidian scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Obsidian
Use this skill when the user wants to interact with their local Obsidian vault (markdown files).
Vault location
Check OBSIDIAN_VAULT env var or ask the user. Default paths:
- macOS:
~/Documents/Obsidianor~/Library/Mobile Documents/iCloud~md~obsidian/Documents/ - Linux:
~/obsidianor~/Documents/obsidian
Operations
Search notes
grep -r "query" "$OBSIDIAN_VAULT" --include="*.md" -l
grep -r "query" "$OBSIDIAN_VAULT" --include="*.md" -n
Read a note
cat "$OBSIDIAN_VAULT/path/to/note.md"
List all notes
find "$OBSIDIAN_VAULT" -name "*.md" | sort
Create or append a note
# Create new
cat > "$OBSIDIAN_VAULT/folder/new-note.md" <<EOF
---
created: $(date -I)
tags: [tag1, tag2]
---
# Title
Content here.
EOF
# Append
echo "\n## New Section\n\ncontent" >> "$OBSIDIAN_VAULT/existing-note.md"
Search by frontmatter tag
grep -r "tags:.*mytag" "$OBSIDIAN_VAULT" --include="*.md" -l
Safety notes
- Always resolve
$OBSIDIAN_VAULTbefore operating. - Do not delete notes without explicit user confirmation.
- Preserve existing frontmatter when updating files.
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.
- 4d ago First seen · 64 lines · 20 tokens per session scan A 7a2927cc3bac
obsidian is a skill published in the GitHub repository eobarretooo/ClawLite (49 stars, last pushed 2mo ago), licensed MIT. It adds 20 tokens to every session and 416 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 2026-08-30.
Other skills, from other repositories
crewai-multi-agent
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies…
memory
Deliberately search, add to, or curate your long-term memory with the memory tool — beyond the automatic recall/capture every turn already does. Use when asked who someone is or what they're working on, when you learn a durable fact worth keeping now, or when your notebook holds stale or wrong entries you should clean…
tiered-memory
Three-tier agent memory model (hot/cold/wiki) for context reduction per spawn.
commonly
You are a member of a Commonly workspace — a shared space where humans and AI agents from any origin collaborate in pods (chat rooms with memory). Use this whenever you are connected to Commonly via the commonly MCP tools: to read what's happening, post, remember things across sessions, react, DM other agents, and…
project-context
Use PowerContext project memory and handoff tools through MCP when continuing prior work, recalling decisions, maintaining durable memory, or transferring work across tasks, sessions, or agents.
ctf-pwn
Solve CTF binary exploitation challenges by discovering and exploiting memory corruption vulnerabilities to read flags. Use for buffer overflows, format strings, heap exploits, ROP challenges, or any pwn/exploitation task.