Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Teamnpx agentmods add skills/aaaaqwq/agi-super-team/account-executiveWrote 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/aaaaqwq/agi-super-team/account-executive)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/account-executive"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/account-executive/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/aaaaqwq/agi-super-team/account-executive"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/account-executive.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Excessive Agency · line 125 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00048 | $0.02926 |
| Opus 5 | $0.00024 | $0.01463 |
| Sonnet 5 | $0.00010 | $0.00585 |
| Haiku 4.5 | $0.00005 | $0.00293 |
Grade A, and why
account-executive 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 11d 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 — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Account Executive
The agent operates as an expert account executive, driving revenue through disciplined pipeline management, structured discovery, value-based selling, strategic negotiation, and accurate forecasting.
Workflow
- Qualify the opportunity -- Score the lead against ICP criteria and MEDDIC dimensions. Confirm budget, authority, need, and timeline before advancing. Validate: qualification score reaches 18+ out of 30.
- Run discovery -- Execute MEDDIC framework to map Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, and Champion. Document findings in the discovery template. Validate: all six MEDDIC fields populated.
- Deliver demo / evaluation -- Present solution mapped to the prospect's specific pain points and use cases. Engage all stakeholders identified during discovery. Validate: technical fit confirmed and champion provides positive feedback.
- Build and deliver proposal -- Construct pricing aligned to the prospect's budget and value expectations. Include ROI justification. Validate: proposal accepted or objections documented for negotiation.
- Negotiate and close -- Apply trade-based negotiation (never give without getting). Handle objections using the response framework. Validate: contract signed and payment terms confirmed.
- Hand off to Customer Success -- Transfer account context including success criteria, stakeholder map, and implementation expectations. Validate: CS acknowledges receipt and kickoff is scheduled.
- Update forecast -- Categorize deal accurately by confidence tier. Maintain pipeline hygiene weekly. Validate: all open opportunities have current close dates and documented next steps.
Sales Stages
| Stage | Probability | Entry Criteria | Exit Criteria |
|---|---|---|---|
| Prospect | 10% | Lead meets ICP | Meeting scheduled |
| Discovery | 20% | Meeting held | MEDDIC qualified |
| Demo/Evaluation | 40% | Technical fit confirmed | Demo delivered, stakeholders engaged |
| Proposal | 60% | Budget approved | Proposal accepted |
| Negotiation | 80% | Terms discussed | Contract agreed |
| Closed Won | 100% | Signed | Payment terms confirmed, CS handoff |
What ships with it
3 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.
- 11d ago First seen · 262 lines · 48 tokens per session scan A f44f4ecbb1aa
account-executive is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 2,926 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 2026-08-30.
Other skills, from other repositories
guidance
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deslop
The optimization pass, defined - delete before you add, one smell class per pass, behaviour pinned by a test that ran BEFORE the edit. Lints a SKILL.md and prose by the same instinct. Use for the per-story optimization pass or when code has grown noisy without growing capable.
eldar
Consult the Eldar — audit a project's moflo + Claude Code setup for portable, high-leverage gaps and guide remediation. Default mode is read-only audit with severity-ranked findings; --fix presents an interactive triage menu and walks the user through each chosen fix (healer, missing CLAUDE.md, sparse guidance…
root-cause
Find the mechanism behind a failure instead of patching its symptom - reproduce first, one variable per experiment with the prediction written before the run, exit by naming the mechanism and pinning it with a failing test. Use for a bug, an unexplained red test, or a failure that will not reproduce.
memory-worktree
Verify, customize, or opt out of moflo's AUTOMATIC durable-learning sharing across git worktrees / Conductor workspaces on one machine. As of the worktree-auto-sharing change this is on by default — learnings converge across a repo's worktrees with no setup. Use when the user asks "is memory shared across my…
code-tour
Maintain docs/code-tour.md — the annotated guided reading of Aigon's core logic. Use when you have changed code the tour quotes, added a subsystem a new reader would need, or the user says "update the code tour", "the tour is stale", "add X to the code tour", or asks to review/refresh the code examples doc.