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 avibe-bot/avibe --skill use-avibe-vaultgit clone --depth 1 https://github.com/avibe-bot/avibeWrote 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/avibe-bot/avibe/use-avibe-vault)<a href="https://agentmods.dev/skills/avibe-bot/avibe/use-avibe-vault"><img src="https://agentmods.dev/badge/skills/avibe-bot/avibe/use-avibe-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/avibe-bot/avibe/use-avibe-vault"><img src="https://agentmods.dev/badge/skills/avibe-bot/avibe/use-avibe-vault.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Privilege Escalation · line 10 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Data Exfiltration · line 48 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00036 | $0.00999 |
| Opus 5 | $0.00018 | $0.00500 |
| Sonnet 5 | $0.00007 | $0.00200 |
| Haiku 4.5 | $0.00004 | $0.00100 |
Grade A, and why
use-avibe-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 7d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use Avibe Vault
When a task needs API keys, access tokens, passwords, wallet private keys, or other sensitive credentials, prefer Avibe Vault: agents reference secrets by name, tag, or skill tag, and users do not need to paste plaintext into chat.
Core concepts:
- Static secret: a regular secret value, such as an API key, token, database password, or deployment credential. Use it with
vibe vault runfor environment injection orvibe vault fetchfor authenticated HTTP egress. - Keypair secret: a signing key for digests or transactions, such as a wallet key or deployment signer. It cannot be exported as an environment variable and cannot be used with
run/fetch; usevibe vault sign. - Standard: for lower-risk routine automation. Agents can usually use it without interrupting the user unless it is configured to ask first.
- Protected: for high-risk secrets, such as production databases or wallet/funds keys. Because protected secrets are end-to-end encrypted, use requires browser approval and passkey unlock.
Rules:
- Refer to secrets only by secret name, tag, or skill tag.
- Static secrets can be used with
run/fetch; keypair secrets can only be used withvibe vault sign. - With
vibe vault run, the child process receives static secrets as environment variables, so never run commands that may print env vars, debug config, or secret-bearing errors. - When protected
run/fetchneeds approval, Avibe automatically asks the user to decrypt and authorize access. After the user approves, Avibe resumes this session; it does not replay the command for you, so run the samerun/fetchcommand again. - When protected
signneeds approval, Avibe creates a browser signing request and returns immediately. Do not rerunsign; when Avibe resumes this session, follow the callback instruction to read the completed request result and continue with the returned signature.
Common commands:
Request that the user add a missing static secret. spec-json may contain only non-secret prefill metadata; the actual secret value is entered by the user in the browser:
vibe vault request OPENAI_API_KEY --reason "Need OpenAI API access" --spec-json '{"kind":"static","protection":"protected","description":"OpenAI API key","tags":["openai","prod","skill:model-work"],"policy":{"allowed_hosts":["api.openai.com"],"auth":{"type":"bearer"}}}'
For a missing keypair/signing key, ask the user to create a keypair secret in the Vault UI; do not request or store private-key material as a static secret.
On Avibe Web chat, a lighter manual prompt can mention the missing secret as a clickable placeholder in your reply, for example $<OPENAI_API_KEY>. The user can click it and fill the secret from Web chat. This has no reason or structured prefill metadata; use vibe vault request when those are needed.
List or find existing Vault entries:
vibe vault list
vibe vault list --tag prod
vibe vault find --kind static --protection protected
vibe vault find openai --tag prod
vibe vault tags
Run a command with selected static secrets injected as environment variables:
vibe vault run --env OPENAI_API_KEY,GITHUB_TOKEN -- python script.py
vibe vault run --env GITHUB_TOKEN=GH_PAT --env OPENAI_API_KEY -- python script.py
vibe vault run --tag deploy -- ./deploy.sh
vibe vault run --skill github-release -- ./release.sh
Make an authenticated HTTP request. The credential is attached only at egress, and the agent never sees the secret:
vibe vault fetch --auth GITHUB_PAT --url https://api.github.com/user
Request approval before a protected run with an existing static secret:
vibe vault access PROD_DB_URL --skill deploy --command "run database migration" --egress "connect to production database"
For protected fetch, run vibe vault fetch; it creates the correct fetch approval request when needed.
Sign a 32-byte digest with a keypair secret. Standard keys may return the signature directly; protected keys create a browser approval request:
vibe vault sign WALLET_KEY --digest <64-hex-digest> --scheme ecdsa-secp256k1-recoverable --command "sign deployment transaction"
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.
- 7d ago First seen · 59 lines · 36 tokens per session scan A b50f76cb448c
use-avibe-vault is a skill published in the GitHub repository avibe-bot/avibe (505 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 999 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 2026-09-05.
Other skills, from other repositories
git-expert
Git operations expert for branching, rebasing, conflicts, and workflows.
github
GitHub operations expert for PRs, issues, code review, Actions, and gh CLI.
continual-learning
Nightly refinement of an existing per-repo review-style prompt using this reviewer's own finding outcomes. Read confirmed (resolved-by-commit / thumbs-up) and dismissed (thumbs-down) findings, promote the bug patterns the team actually fixes, demote the false-positive patterns, reconcile against the current prompt…
nano-banana-pro-openrouter
Deterministic OpenRouter image generation adapter for Nano Banana Pro / Gemini image models. Use as skillexec when a meta-skill needs local image files and structured IMAGEREADY records without spawning an LLM agent.
skill-creator-linter
Internal tool (not user-invocable). Called by meta-skill-creator as a DAG step (kind: agent) to lint a candidate meta-skill SKILL.md against G1 (parse + reference check + xmlescape grep + structural lint) and G2 (scheduler dry-run with stub executors). Deterministic, sub-second, no LLM. Returns JSON diagnostics.
paper-abstract-author
Write the abstract after the paper body has been revised, using the final claims and evidence.