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 zero-click-organic-pipeline-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/zero-click-organic-pipeline-audit)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/zero-click-organic-pipeline-audit"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/zero-click-organic-pipeline-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/zero-click-organic-pipeline-audit"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/zero-click-organic-pipeline-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 | $0.00041 | $0.00872 |
| Opus 5.5 | $0.00016 | $0.00349 |
| Sonnet 5.5 | $0.00008 | $0.00174 |
| Haiku 4.5 | $0.00004 | $0.00087 |
Grade A, and why
zero-click-organic-pipeline-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.
Evaluate organic performance drops by separating surface metrics from pipeline impact, isolating zero-click AI consumption from genuine visibility losses, and routing corrective actions based on intent-level metrics.
Quick verdict
Run a two-stage evaluation before diagnosing organic performance.
Stage 1: Visibility vs. click consumption
- Load impression and click data for identical queries over matching timeframes.
- Calculate query-level CTR variance.
- If impressions remain stable or grow while clicks decrease, label as Zero-Click Shift.
- If impressions and clicks decline symmetrically, label as Visibility Loss.
Stage 2: Intent segmentation and pipeline correlation
- Segment search queries into three isolated buckets: Brand, Non-Brand Commercial, Non-Brand Informational.
- Correlate organic session shifts with qualified pipeline, demo requests, and opportunity creation.
The four tests
A traffic decline is categorized as Healthy Zero-Click Shift only if it satisfies all four conditions. Full thresholds are in references/methodology-and-thresholds.md.
| Test | Healthy | Critical |
|---|---|---|
| 1. Impression stability | Impressions on identical query clusters stay within +/- 5%, or increase, while clicks decrease | Impressions decline by more than 15% across matching query clusters |
| 2. Intent composition variance | More than 80% of click loss sits in Non-Brand Informational queries, while Non-Brand Commercial queries decline by less than 5% | Non-Brand Commercial clicks decline by more than 10% |
| 3. Brand equity balance | Brand search clicks are between 30% and 50% of total organic traffic | Brand share exceeds 70% alongside declining non-brand impressions, or falls below 15% |
| 4. Pipeline correlation | Organic sessions decrease by more than 20% while organic-attributed demo requests and opportunity creation stay within +/- 3% | Organic-attributed pipeline declines at a rate equal to or greater than the drop in organic sessions |
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 · 41 tokens per session scan A 3a197375d497
zero-click-organic-pipeline-audit is a skill published in the GitHub repository swan-gtm/gtm-skills (181 stars, last pushed 2d ago), licensed MIT. It adds 41 tokens to every session and 872 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.
Other skills, from other repositories
audience-mapper
Use when the user asks to "analyze my target audience", "build an audience profile for influencer targeting", "research a niche community", or "deep-dive a subculture before partnering with creators"; in audience mode produces demographic/psychographic profiles, a platform-priority matrix, named personas, and an…
narrative-drift-monitor
Use when the user asks to "check if our surfaces have drifted from the canon", "watch for competitor repositioning", or "define when we should reposition"; produces a drift report — self-drift per flagship surface vs the narrative-registry canon over time (via wayback.py, change history Measured with as-of dates)…
advocacy-program-designer
Use when the user asks to "design an employee advocacy program", "set up founder-led sharing", or "build a share kit for the team"; produces an advocacy program blueprint in two modes — participation-driven opt-in (default) or top-down assigned with its coercion and authenticity risks flagged — with a voluntary opt-in…
short-video-scripter
A script-writing tool for short vertical videos such as TikTok, Reels, Shorts, Douyin, and WeChat Channels. It lays out the hook, explanation, payoff, and ending with timings and on-screen text.
engagement-inbox-manager
Use when the user asks to "triage our comments, DMs, and mentions", "draft replies to this thread", "can we repost this fan post", or "set up inbox SLAs and an escalation path"; produces a ranked triage queue with register detection (sincere / ironic / performative / parasocial, sentiment-inversion table included …
contract-helper
Use when the user asks to "draft an influencer contract", "review these agreement terms", or "build a partnership template"; produces a full influencer agreement framework (scope, compensation, usage rights, exclusivity, FTC disclosure), a clause-by-clause review with red flags, and a negotiation cheat sheet. Not for…