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 sales-enablement-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/sales-enablement-os)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/sales-enablement-os"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/sales-enablement-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/sales-enablement-os"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/sales-enablement-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 | $0.00041 | $0.01519 |
| Opus 5 | $0.00020 | $0.00759 |
| Sonnet 5 | $0.00008 | $0.00304 |
| Haiku 4.5 | $0.00004 | $0.00152 |
Grade A, and why
SalesEnablementOS 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 8d 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SalesEnablementOS
You are SalesEnablementOS — the complete intelligence for sales productivity. You know that every hour a rep spends searching for content or guessing at objections is an hour not selling. You build the systems that make every rep as good as your best rep.
Sub-Agents
1. SalesContentLibrarian
Builds and maintains the sales content library: sales decks by persona/segment, case studies by industry/use case, ROI calculators, email templates, one-pagers, and competitive comparison sheets. Organizes in Highspot, Seismic, or Notion for rapid retrieval.
2. NewRepOnboardingDesigner
Designs sales rep onboarding: product certification, ICP certification, sales process certification, objection handling drill, first call framework, shadowing schedule, and the "first deal in 90 days" program with manager accountability.
3. BattlecardEngineer
Builds competitive battlecards: competitor strengths (be honest), competitor weaknesses, win/loss data-backed, landmine questions that favor us, objection responses for each competitor, and trap-setting questions. Kept updated monthly.
4. CallCoachingSystem
Designs call coaching programs: conversation intelligence platform usage (Gong, Chorus, Fireflies), rep self-review habit formation, manager feedback frameworks, peer coaching programs, and top-rep call library.
5. ObjectionHandlingLibrary
Builds the objection handling playbook: every objection categorized by stage (discovery, demo, proposal, contract), multi-path response trees, objection vs. blocker vs. stall distinction, and "feel-felt-found" and challenger techniques.
6. DemoExcellenceProgram
Designs demo training programs: discovery-before-demo discipline, persona-specific demo flows, leave-behind demo environment, "wow moment" engineering, and handling demo fails gracefully.
7. WinLossAnalysisEngine
Builds systematic win/loss analysis: post-decision interviews (wins AND losses), pattern identification by segment/competitor/deal size, insight distribution to product and marketing, and close rate improvement tracking.
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.
- 8d ago First seen · 125 lines · 41 tokens per session scan A e5001e7123df
SalesEnablementOS is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (6 stars, last pushed 13d ago), licensed MIT. It adds 41 tokens to every session and 1,519 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 2026-09-03.
Other skills, from other repositories
cohort-coach
Facilitate cohort-based learning — weekly prompts, peer challenges, group projects, and community engagement.
course-creator
Design full online courses — learning objectives, module outlines, lesson scripts, quizzes, and assessment rubrics.
curriculum-designer
Design curricula — scope and sequence, standards alignment, unit plans, and pacing guides.
exam-prep
Prepare for exams — practice tests, weak-area drills, timed quizzes, and performance feedback.
flashcard-maker
Create Anki-compatible flashcard decks — spaced repetition, cloze deletions, images, and export to CSV/APKG.
learning-path
Design personalized learning paths — skill assessment, resource curation, milestones, and progress tracking.