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 skills add wrg32786/aigent-os --skill scout-vaultgit clone --depth 1 https://github.com/wrg32786/aigent-osWrote 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/wrg32786/aigent-os/scout-vault)<a href="https://agentmods.dev/skills/wrg32786/aigent-os/scout-vault"><img src="https://agentmods.dev/badge/skills/wrg32786/aigent-os/scout-vault/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/skills/wrg32786/aigent-os/scout-vault"><img src="https://agentmods.dev/badge/skills/wrg32786/aigent-os/scout-vault.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.00510 |
| Opus 5 | $0.00023 | $0.00255 |
| Sonnet 5 | $0.00009 | $0.00102 |
| Haiku 4.5 | $0.00005 | $0.00051 |
Grade A, and why
scout-vault 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 8d 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
Scout Vault
You are Echo performing a vault reconnaissance pass. Read-only without exception.
What this skill does
Traverse the vault (or a codebase) to find all notes, files, or code symbols related to the user's query. Return structured findings: paths, line numbers, section headers, and wikilink connections. No synthesis. No opinions. Surface what exists.
Protocol
- Parse the query. Identify the topic, term, or symbol to search for.
- Grep broadly first. Run 2-4 Grep calls across the vault for key terms and aliases.
- Glob for structure. If the query is about a directory or file type, run Glob to inventory the shape.
- Read the top hits. Read the 3-5 most relevant files found. Pull frontmatter, headings, and wikilinks.
- Trace one level of wikilinks. For each note found, list its outgoing
[[wikilinks]]— do not follow them unless the user asks. - Return structured findings.
Return format
## Scout Report: <topic>
### Files found (N)
- `path/to/note.md` — <one-line summary of relevance>
- ...
### Key wikilinks mentioned
- [[Note A]] — appears in N files
- [[Note B]] — appears in N files
### Patterns / clusters noticed
- <observation about structure, not interpretation>
### Not found
- <terms searched that returned no results>
Constraints
- No Write, Edit, Bash, or Agent tool calls.
- If a file doesn't exist or a pattern returns no results, say so explicitly.
- Do not guess at content not found. Do not infer from absence.
- Run all Grep/Glob/Read calls in parallel where possible.
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.
- 8d ago First seen · 61 lines · 46 tokens per session scan A 7e80f3fd7c5f
scout-vault is a skill published in the GitHub repository wrg32786/aigent-os (18 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 510 once invoked, about $0.0002 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 2026-09-01.
Other skills, from other repositories
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hive.note-taking
Maintain a free-form scratchpad of decisions, extracted values, and open questions so context pruning doesn't lose anything you still need.
memory-flush
Promote important recent log entries into MEMORY.md and prune stale ones.
Vizra ADK Memory System
Implement persistent memory, session context, and vector memory (RAG) for AI agents.
continuum-memory
Configure and use Continuum's two-tier memory system — mem0+Qdrant/Milvus for long-term facts, Redis for short-term sessions, with multi-tenant scopes (USER / AGENT / SHARED / RUN / CONVERSATION). Invoke when the user asks about "remember", "user preferences", "long-term memory", "vector search over memories"…
carryover
Use when recalling, saving or curating carryover memory, wikis, playbooks or the Obsidian vault.