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 b2b-saas-painpoint-seo-auditgit 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/b2b-saas-painpoint-seo-audit)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/b2b-saas-painpoint-seo-audit"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/b2b-saas-painpoint-seo-audit/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/b2b-saas-painpoint-seo-audit"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/b2b-saas-painpoint-seo-audit.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 | $0.00047 | $0.00999 |
| Opus 5.5 | $0.00019 | $0.00400 |
| Sonnet 5.5 | $0.00009 | $0.00200 |
| Haiku 4.5 | $0.00005 | $0.00100 |
Grade A, and why
b2b-saas-painpoint-seo-audit 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit B2B SaaS organic content architecture by shifting focus from keyword search volume to buyer intent, isolating bottom-of-funnel (BoFu) pain points, evaluating comparison page integrity, and measuring pipeline contribution across funnel stages.
Quick verdict
Execute a two-stage evaluation before revising editorial calendars or keyword priorities.
Stage 1: Funnel intent distribution and pipeline density
- Categorize all traffic-generating organic pages into three stages: Buyer Pain-Point Solution Pages, Informational Learning Assets, and Unaligned Traffic Collectors.
- Map CRM opportunity touchpoints against each page category.
- If top traffic pages generate zero opportunity touchpoints while a small cluster of BoFu pages drives all pipeline, label as Vanity Traffic Bias.
- If BoFu search footprint is absent, label as Intent Void.
Stage 2: Comparison integrity and conversion asymmetry
- Evaluate conversion rate ratios between BoFu pages (e.g.,
Brand vs Competitor, alternatives, pricing) and top-of-funnel (ToFu) informational articles. - Audit comparison pages for objective differentiation vs. promotional biased feature checklists.
The four tests
A content strategy is classified as Pipeline-Optimized only if it satisfies all four conditions. Full thresholds are in references/methodology-and-thresholds.md.
| Test | Healthy | Critical |
|---|---|---|
| 1. Pipeline density ratio | At least 50% of organic-attributed pipeline comes from High-Intent Pain-Point or Comparison pages, even if they are less than 15% of site traffic | Less than 10% of organic pipeline is generated by high-intent commercial pages |
| 2. Conversion rate asymmetry | High-intent pages convert to qualified demo requests or trial sign-ups at a significantly higher rate than informational posts (e.g., 5x to 10x) | Conversion rates across high-intent pages and informational posts remain flat |
| 3. Comparison page neutrality and trust | Comparison pages state specific use cases where competing products excel, keep verifiable feature criteria, and give clear trade-off analyses | Comparison pages present one-sided feature checklists with uniform positive marks for the proprietary product |
| 4. Business domain qualification rate | Form submissions from high-intent pain-point pages have a business email domain rate of at least 80% | Non-business email submissions exceed 35% on commercial intent assets |
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.
- 9d ago First seen · 53 lines · 47 tokens per session scan A 5434212adc7f
b2b-saas-painpoint-seo-audit is a skill published in the GitHub repository swan-gtm/gtm-skills (181 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 999 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-08.
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