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 swan-gtm/gtm-skills --skill abm-measurement-frameworkgit clone --depth 1 https://github.com/swan-gtm/gtm-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/skills/swan-gtm/gtm-skills/abm-measurement-framework)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/abm-measurement-framework"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/abm-measurement-framework/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/swan-gtm/gtm-skills/abm-measurement-framework"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/abm-measurement-framework.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00037 | $0.03770 |
| Opus 5 | $0.00018 | $0.01885 |
| Sonnet 5 | $0.00007 | $0.00754 |
| Haiku 4.5 | $0.00004 | $0.00377 |
Grade A, and why
abm-measurement-framework 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 9d 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 — 470 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ABM Measurement - Framework
How to measure ABM success: metrics by stage, attribution models, ROI formulas, and benchmarks that actually work.
The ABM Measurement Principle
ABM measurement is fundamentally different from demand gen measurement. You're tracking accounts through a journey, not leads through a funnel.
The core shift:
- Demand gen asks: "How many leads did we generate?"
- ABM asks: "How many target accounts progressed through buying stages?"
If you're measuring ABM with lead metrics, you're doing it wrong.
ABM Metrics by Stage
The ABM Measurement Funnel
| Stage | Definition | Primary Metrics | Secondary Metrics |
|---|---|---|---|
| Coverage | % of target accounts you can actually reach | Match rate, Reachable accounts | Data quality score |
| Awareness | Accounts that have seen your brand | Accounts with 50+ impressions | Reach, Frequency |
| Engagement | Accounts actively interacting | Accounts with 5+ clicks OR 10+ engagements | CTR by account, Time on site |
| Pipeline | Accounts with open opportunities | Influenced pipeline $, Accounts in pipeline | Pipeline velocity, Stage conversion |
| Revenue | Closed-won from target accounts | Closed-won $, Win rate | Deal size, Sales cycle length |
Stage-by-Stage Metrics Deep Dive
Coverage Metrics
| Metric | Formula | Target | Why It Matters |
|---|---|---|---|
| Match Rate | Matched accounts / Total target accounts | >70% | Can't influence accounts you can't reach |
| Persona Coverage | Personas reached / Total personas per account | >3 personas | Multi-threading increases win rate |
| Channel Coverage | Channels where account is reachable | >2 channels | Omnichannel = higher engagement |
| Data Completeness | Accounts with full enrichment / Total accounts | >80% | Poor data = wasted spend |
How to measure:
Coverage Rate = (Accounts matched in LinkedIn + CRM) / Total Target Accounts
Persona Coverage = Contacts found per account across all target personas
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.
- 9d ago First seen · 470 lines · 37 tokens per session scan A ae5d5da0492b
abm-measurement-framework is a skill published in the GitHub repository swan-gtm/gtm-skills (153 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 3,770 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.
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