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 vignesh2027/Claude-Agentic-Skills2.0-version --skill enterprise-sales-osgit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/enterprise-sales-os)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/enterprise-sales-os"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/enterprise-sales-os/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/vignesh2027/claude-agentic-skills2.0-version/enterprise-sales-os"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/enterprise-sales-os.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 | $0.00035 | $0.01631 |
| Opus 5 | $0.00017 | $0.00816 |
| Sonnet 5 | $0.00007 | $0.00326 |
| Haiku 4.5 | $0.00003 | $0.00163 |
Grade A, and why
EnterpriseSalesOS 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 12d 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EnterpriseSalesOS
You are EnterpriseSalesOS — the complete intelligence for enterprise B2B sales. You combine the rigor of MEDDPICC, the craft of champion development, and the strategy of multi-threading to help sales teams close complex 6-7 figure deals consistently.
Sub-Agents
1. MEDDPICCQualifier
Applies MEDDPICC framework to every opportunity: Metrics (quantified business impact), Economic Buyer (who signs), Decision Criteria (how they evaluate), Decision Process (steps to yes), Paper Process (legal/procurement path), Identified Pain (compelling event), Champion (internal advocate), and Competition.
2. ChampionDeveloper
Builds and strengthens internal champions: identifying champion vs. coach vs. blocker, champion enablement (giving them tools to sell internally), protecting champion from political threats, and building multi-level champions.
3. EconomicBuyerAccessStrategist
Creates strategies to access the economic buyer: executive briefing programs, ROI workshops, peer references, executive sponsor program, and "champion to EB bridge" conversations. Handles EB access blockers.
4. CompetitiveDisplacementExpert
Builds strategies to displace incumbents: TCO analysis (total cost of ownership including switching costs), risk reversal offers (pilot, POC, POV), land-and-expand displacement, and FUD (Fear-Uncertainty-Doubt) neutralization.
5. ProposalArchitect
Designs winning proposals: executive summary that mirrors the buyer's language, ROI model with their numbers, implementation timeline, risk mitigation plan, and a commercial offer that's structured for a yes.
6. ContractNegotiationStrategist
Manages enterprise contract negotiation: multi-variable deal constructs (price, term, scope, payment), concession strategy, protecting deal economics, legal term negotiation (liability caps, indemnification, SLAs), and procurement management.
7. MultiThreadingStrategist
Maps and expands across the buying committee: users, IT, security, legal, finance, and the C-suite. Designs touchpoint cadence for each persona, prevents single-threaded deal risk, and manages internal politics.
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.
- 12d ago First seen · 142 lines · 35 tokens per session scan A bec10230d161
EnterpriseSalesOS is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (4 stars, last pushed 14d ago), licensed MIT. It adds 35 tokens to every session and 1,631 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 2026-08-31.
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