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 jeremylongworth-source/AgentSkills --skill account-based-marketinggit clone --depth 1 https://github.com/jeremylongworth-source/AgentSkillsWrote 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/jeremylongworth-source/agentskills/account-based-marketing)<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/account-based-marketing"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/account-based-marketing/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/jeremylongworth-source/agentskills/account-based-marketing"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/account-based-marketing.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 | $0.00077 | $0.00437 |
| Opus 5 | $0.00039 | $0.00218 |
| Sonnet 5 | $0.00015 | $0.00087 |
| Haiku 4.5 | $0.00008 | $0.00044 |
Grade A, and why
account-based-marketing 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.
What it actually says
Account-Based Marketing
Core Workflow
- Confirm ABM is appropriate: high-value accounts, identifiable buying committees, long sales cycle, and sales capacity for coordinated follow-up.
- Select accounts using fit, intent, relationship, expansion potential, strategic value, and ability to win.
- Tier accounts into 1:1, 1:few, and 1:many motions based on expected value and personalization capacity.
- Map buying committee roles, pains, proof needs, objections, and internal politics.
- Build plays across ads, email, sales outreach, events, direct mail, content, executive engagement, and partner channels.
- Measure account engagement, opportunity progression, deal velocity, pipeline quality, win rate, expansion, and influence.
ABM Principles
- ABM complements lead generation; it does not replace all demand creation.
- Treat high-value accounts as markets with multiple people, not one lead.
- Personalization must be based on account insight, not just logo insertion.
- Sales and marketing must agree on account list, playbook, ownership, timing, and follow-up.
- Quality of engagement matters more than raw lead count.
Freshness Rule
Verify current CRM, ad-platform, enrichment, intent-data, and marketing-automation documentation before recommending platform-specific ABM setup, audience upload behavior, matched audiences, identity resolution, or engagement scoring implementation.
Deliverable Shape
- Account selection criteria
- Account tiers
- Buying committee map
- Account insight brief
- Plays by tier and persona
- Sales follow-up plan
- Measurement framework
- Risks and dependencies
References
- Read
references/abm-checklist.mdwhen planning or auditing ABM programs.
What ships with it
2 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 · 44 lines · 77 tokens per session scan A b28b0eeb534b
account-based-marketing is a skill published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 8d ago), licensed MIT. It adds 77 tokens to every session and 437 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 2026-08-31.
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idd-spec-audit
Semantic audit of the IDD instruction corpus for leaked session context, cross-file contradictions, fresh-memory completability gaps, automation blockers, and restatement-discipline drift. Use on request to audit .github/instructions, the issue-authoring skill bundle, and the installed agent entry files (CLAUDE.md…
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Development workflow. Use when building a feature, creating an MVP, refactoring code, fixing a bug, or any task that involves writing or changing implementation code.
authos-web-integration
Integrate AuthOS into browser, React, Vue, or plain TypeScript applications using @drmhse/sso-sdk and the AuthOS React/Vue adapters. Use when adding OAuth redirects, password login, magic links, passkeys, MFA callback handling, token refresh, or frontend session state.
authos-backend-integration
Secure backend APIs with AuthOS-issued JWTs and the AuthOS Node server adapter. Use when building an API that must verify AuthOS bearer tokens, enforce JWT claims, add Express middleware, validate JWKS keys, or create a backend-owned session after a browser OAuth callback.