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.
/plugin marketplace add igptai/skillsnpx agentmods add plugins/igptai/skills/igpt-consultinggit clone --depth 1 https://github.com/igptai/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/plugins/igptai/skills/igpt-consulting)<a href="https://agentmods.dev/plugins/igptai/skills/igpt-consulting"><img src="https://agentmods.dev/badge/plugins/igptai/skills/igpt-consulting.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
igpt-consulting 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 4d 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
{
"name": "igpt-consulting",
"description": "Consulting intelligence skills powered by iGPT. Tracks client deliverables, detects scope creep, monitors retainer usage, collects client feedback, follows up on proposals, and mines reference requests — all automatically from connected email datasources.",
"version": "1.0.0",
"author": { "name": "iGPT AI", "email": "[email protected]", "url": "https://www.igpt.ai" },
"homepage": "https://github.com/igptai/skills/tree/main/plugins/igpt-consulting",
"repository": "https://github.com/igptai/skills",
"license": "MIT"
}
What it installs
The manifest is a name and a version. 6 skills, 1 agent, 1 MCP server travel with it, and installing the plugin installs all of them — 669 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill client-deliverable-tracker A 101 tokens
- Skill client-feedback-collector A 93 tokens
- Skill retainer-usage-tracker A 99 tokens
- Skill scope-creep-detector A 99 tokens
- Skill proposal-follow-up-tracker A 95 tokens
- Skill reference-request-miner A 108 tokens
- Agent igpt-consulting A 74 tokens
- MCP server igpt A not measured
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.
- 4d ago First seen · 10 lines scan A a54747856503
igpt-consulting is a plugin published in the GitHub repository igptai/skills (16 stars, last pushed 4mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-08-30.
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