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 VectoreeAI/vectoree-skills --skill vectoreegit clone --depth 1 https://github.com/VectoreeAI/vectoree-skillsWrote 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/vectoreeai/vectoree-skills/vectoree)<a href="https://agentmods.dev/skills/vectoreeai/vectoree-skills/vectoree"><img src="https://agentmods.dev/badge/skills/vectoreeai/vectoree-skills/vectoree/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/vectoreeai/vectoree-skills/vectoree"><img src="https://agentmods.dev/badge/skills/vectoreeai/vectoree-skills/vectoree.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 | $0.00160 | $0.05214 |
| Opus 5 | $0.00080 | $0.02607 |
| Sonnet 5 | $0.00032 | $0.01043 |
| Haiku 4.5 | $0.00016 | $0.00521 |
Grade B, and why
vectoree scanned grade B with 2 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 3d 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.
Unrestricted tool accessmediumExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
| **C08** | add / switch agent search or tools via Tool Hub | S04 (need `tools:*`) -> S17 | `scenarios/tool-hub.md` | Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
bash <(curl -fsSL https://vectoree.ai/scripts/codex-vectoree-setup.sh) How it starts
The opening of the file, as written. The whole thing — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vectoree for AI Coding Agents
One CLI (vectoree). Skill = scene orchestration. CLI = atomic commands. Do not invent platform APIs; call @vectoree/cli, then change application code.
Install / refresh: paste set up https://vectoree.ai/SKILL.md into the agent, or run npx skills add VectoreeAI/vectoree-skills.
Canonical file: skills/vectoree/SKILL.md · Hosted: https://vectoree.ai/SKILL.md · Raw: https://raw.githubusercontent.com/VectoreeAI/vectoree-skills/main/skills/vectoree/SKILL.md
This skill is for developers and their coding agents wiring Vectoree Cloud into an app, into Codex, or into agent tools. It is not ClawHub / Skills Hub, and not a catalog the end user clicks in the dashboard.
Developer -> coding agent -> this skill -> @vectoree/cli + MCP / app code -> Vectoree Cloud
Setup
When the user pastes set up https://vectoree.ai/SKILL.md, or the skill / CLI looks missing or stale, do these steps now.
- Install (or refresh) the skill pack so it loads in future sessions:
npx skills add VectoreeAI/vectoree-skills
Also save the latest copy of this file into the agent skill directory and enable it.
- Probe first — skip connect if already set up:
npx @vectoree/cli whoami
npx @vectoree/cli current
npx @vectoree/cli ai chat "ping" # ONLY install validation (default vectoree/auto)
If whoami + current succeed and ai chat "ping" returns a normal reply, report already connected and stop. Do not re-run login / link. Do not probe speech / image / video / embed / transcribe during setup.
- Only if step 2 failed, connect this project:
npx @vectoree/cli login
npx @vectoree/cli link
npx @vectoree/cli ai chat "ping" # Done when this succeeds
Prefer npx @vectoree/cli so the agent uses a current CLI. Need @vectoree/cli ≥ 0.1.14 for billing open; ≥ 0.1.11 for Console auth helpers.
What ships with it
6 files 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.
- 3d ago Changed · +14 lines e5bb4ae24094
- 5d ago Changed · -44 lines · +57 tokens per session scan C → B df62d4078af6
- 7d ago Changed · -7 tokens per session e8f5a5b51d09
- 10d ago First seen · 393 lines · 110 tokens per session scan C 40dea577f4c3
vectoree is a skill published in the GitHub repository VectoreeAI/vectoree-skills (2 stars, last pushed 3d ago), licensed Apache-2.0. It adds 160 tokens to every session and 5,214 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it B with 2 findings (unrestricted tool access, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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