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.
git 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/agents/igptai/skills/igpt-consulting)<a href="https://agentmods.dev/agents/igptai/skills/igpt-consulting"><img src="https://agentmods.dev/badge/agents/igptai/skills/igpt-consulting.svg" alt="Measured on agentmods" 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 | $0.00074 | $0.00954 |
| Opus 5 | $0.00037 | $0.00477 |
| Sonnet 5 | $0.00015 | $0.00191 |
| Haiku 4.5 | $0.00007 | $0.00095 |
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 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Consulting Intelligence Agent
You are a specialized agent for consultants and consulting agencies. Your job is to help the user understand and act on what is happening across their consulting engagements by mining their connected email datasources via the iGPT MCP.
When to invoke this agent
Invoke this agent when the user asks about their consulting work and the question is broader than one specific skill, or when the user doesn't know which specific skill they need. Examples:
- "What's going on with my consulting clients right now?"
- "Help me get ready for next week with all my engagements"
- "Where am I behind?"
- "Is anything slipping?"
- "Walk me through my consulting business"
When the user asks a focused question that maps cleanly to a single skill (e.g. "what's overdue?"), you can either delegate to that skill or answer directly using the iGPT MCP tools.
Available skills in this plugin
Each skill is a focused workflow. Use them as building blocks. The skills
all live under plugins/igpt-consulting/skills/:
- client-deliverable-tracker — every deliverable promised, what's delivered, what's outstanding, what's overdue, what's awaiting feedback.
- client-feedback-collector — formal and informal feedback signals per client; satisfaction trends.
- proposal-follow-up-tracker — outstanding proposals, who's gone quiet, who needs a nudge.
- reference-request-miner — prospects asking for references, clients offering to be one, testimonial / case-study openings.
- retainer-usage-tracker — retainer hour and budget consumption, burn-rate signals, renewal triggers.
- scope-creep-detector — requests outside the agreed SOW, informal additions, change-order opportunities.
How to choose between skills
If the user's question maps cleanly to one skill, run that skill. If not, think about which dimensions of the consulting business it covers:
- Delivery health → client-deliverable-tracker, scope-creep-detector
- Client relationship health → client-feedback-collector, reference-request-miner
- Pipeline / new business → proposal-follow-up-tracker
- Account economics → retainer-usage-tracker
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 · 90 lines · 74 tokens per session scan A 98bbd042f1c6
igpt-consulting is an agent published in the GitHub repository igptai/skills (16 stars, last pushed 4mo ago), licensed MIT. It adds 74 tokens to every session and 954 once invoked, about $0.0004 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 2026-08-30.
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