Borrowing it
Nothing to install: this file belongs to swarm-ai-research/swarm. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/swarm-ai-research/swarm/main/.skills/vault-init/SKILL.mdgit clone --depth 1 https://github.com/swarm-ai-research/swarmWrote 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/swarm-ai-research/swarm/vault-init)<a href="https://agentmods.dev/skills/swarm-ai-research/swarm/vault-init"><img src="https://agentmods.dev/badge/skills/swarm-ai-research/swarm/vault-init/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/swarm-ai-research/swarm/vault-init"><img src="https://agentmods.dev/badge/skills/swarm-ai-research/swarm/vault-init.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 9 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00065 | $0.04662 |
| Opus 5 | $0.00032 | $0.02331 |
| Sonnet 5 | $0.00013 | $0.00932 |
| Haiku 4.5 | $0.00006 | $0.00466 |
Grade A, and why
vault-init 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 689 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EXECUTE NOW
Target: $ARGUMENTS
Parse immediately:
- If target is a path: use it as the vault root
- If target is empty: use the current working directory
- If target contains
--backfill: also generate run.yaml for existing runs - If target contains
--force: overwrite existing templates and index - If target contains
--minimal: skip seeded content notes, only install templates
Execute steps 0 through 8 in order. Do not skip steps. Do not ask for confirmation between steps — execute the full sequence, then report.
Step 0: Detect Vault State
Read the target directory to determine what already exists.
Check for:
vault/directory (has vault been initialized before?)vault/_index.md(has the index been created?)vault/templates/(have templates been installed?)runs/directory (are there existing runs?)schemas/directory (have schemas been installed?)run-index.yaml(has the run index been built?)
Decision tree:
- If
vault/_index.mdexists AND--forcenot set → report "Vault already initialized" with a summary of what exists, then offer to run--backfillor--force - If
vault/_index.mddoes not exist → proceed with full initialization - If
--forceis set → proceed, overwriting existing files
Store the state as context for remaining steps.
Step 1: Create Directory Structure
Create the full vault directory tree. Use mkdir -p to be idempotent.
vault/
├── experiments/ # one note per run (auto-generated)
├── claims/ # claim cards with evidence pointers
├── governance/ # governance mechanism notes
├── topologies/ # topology behavior notes
├── failures/ # named failure patterns from red-team
├── methods/ # reusable methodology notes
├── sweeps/ # cross-run sweep aggregations
└── templates/ # schema-enforced note templates
Also ensure these exist:
schemas/ # JSON Schema files for validation
scripts/ # automation tooling
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 689 lines · 65 tokens per session scan A a221cd96f4d5
vault-init is a skill published in the GitHub repository swarm-ai-research/swarm (42 stars, last pushed today), licensed MIT. It adds 65 tokens to every session and 4,662 once invoked, about $0.0003 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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