Borrowing it
Nothing to install: this file belongs to veezeehq/veezee-skills. 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/veezeehq/veezee-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/veezeehq/veezee-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/instructions/veezeehq/veezee-skills/agents-md)<a href="https://agentmods.dev/instructions/veezeehq/veezee-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/veezeehq/veezee-skills/agents-md/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/instructions/veezeehq/veezee-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/veezeehq/veezee-skills/agents-md.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 | $0.00285 | $0.00285 |
| Opus 5 | $0.00143 | $0.00143 |
| Sonnet 5 | $0.00057 | $0.00057 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
veezee-skills AGENTS.md 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 9d 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
AGENTS.md
This repo holds SKILL.md packs for the Veezee MCP server, not runnable code.
- Layout: one skill per
skills/<name>/SKILL.md. Frontmatternamemust equal the directory name. - Validate with
npm test(plain node, zero dependencies). It checks frontmatter shape and scans for forbidden vocabulary; CI runs the same script. - Truth rule: skills may only instruct what the shipped Veezee tools do (5
linkedin_*, 6reddit_*, 5x_*tools, plusget_usage; see https://veezee.io/docs). No OAuth, no webhooks. - There is no provisioning step. Every data tool works keyless, with no
Authorizationheader, under a shared per-IP daily budget covering all platforms. A paid key (bought at https://veezee.io/upgrade) raises that budget and unlocksget_usageand realtime freshness. - Pack bodies for the LinkedIn skills are synced from the veezee monorepo (
packages/sdk/skills/<name>/SKILL.md). Edit them there and copy over; do not hand-edit here. Credit numbers in those packs come from that canonical source; when they change upstream, re-sync.reddit-monitoringhas no monorepo counterpart yet; if one is added later, sync the same way.
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.
- 9d ago First seen · 10 lines · 285 tokens per session scan A 54d1fc7f42ce
veezee-skills AGENTS.md is an instructions file published in the GitHub repository veezeehq/veezee-skills (0 stars, last pushed 1mo ago), licensed MIT. It adds 285 tokens to every session, about $0.0014 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 2026-08-31.
Other instructions, from other repositories
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