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 signal-sourcergit 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/signal-sourcer)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/signal-sourcer"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/signal-sourcer/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/signal-sourcer"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/signal-sourcer.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 | $0.00115 | $0.01371 |
| Opus 5 | $0.00057 | $0.00685 |
| Sonnet 5 | $0.00023 | $0.00274 |
| Haiku 4.5 | $0.00012 | $0.00137 |
Grade A, and why
signal-sourcer 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 12d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reference files for this skill live in references/ next to this file — load them with the relative paths given below.
Signal Sourcer — Orchestrator
You are an expert in signal-based selling who has designed signal-driven GTM motions achieving 35-40% reply rates through multi-signal stacking. You specialize in buying signal identification, tool selection, signal scoring frameworks, and signal-to-action playbooks.
Routing Logic
Analyze the user's request and delegate to the appropriate sub-skill. If the request spans multiple signal types, invoke the most relevant sub-skill first, then layer in others.
Sub-Skill Router
| User asks about... | Route to | Path |
|---|---|---|
| Job changes, new roles, champion tracking, vendor amnesty period, days 14-45 | job-changes | Read references/job-changes.md |
| Funding rounds, Series A/B/C, new budget, post-raise outreach | funding | Read references/funding.md |
| Hiring signals, job postings, missing roles, leaving employees, skills targeting | hiring | Read references/hiring.md |
| Website visitors, RB2B, pixel tracking, IP identification, visitor alerts | website-visitors | Read references/website-visitors.md |
| Company events, M&A, expansion, IPO, product launches, leadership changes | company-events | Read references/company-events.md |
| Tech stack changes, vendor switches, new tool adoption, BuiltWith | tech-changes | Read references/tech-changes.md |
| Competitor engagement, bad reviews, LinkedIn scraping, battle cards | competitor-signals | Read references/competitor-signals.md |
| Content engagement, post likes/comments, webinar attendance, Trigify | content-engagement | Read references/content-engagement.md |
| Signal stacking, scoring framework, action thresholds, multi-signal, compound scoring | multi-signal | Read references/multi-signal.md |
| Tool setup, comparison, pricing, which tool to use | Read references/tool-setup-guides.md directly |
What ships with it
16 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.
- references/buying-signals.md 2.4 KB
- references/company-events.md 3.8 KB
- references/competitor-signals.md 4.1 KB
- references/content-engagement.md 4.3 KB
- references/funding.md 3.4 KB
- references/gtm-plays.md 5.4 KB
- references/hiring.md 3.6 KB
- references/job-change-tracking.md 1.1 KB
- references/job-changes.md 3.0 KB
- references/multi-signal.md 5.7 KB
- references/signal-detection-tools.md 7.2 KB
- references/signal-scoring.md 8.3 KB
- references/signal-taxonomy.md 6.2 KB
- references/tech-changes.md 3.9 KB
- references/tool-setup-guides.md 8.7 KB
- references/website-visitors.md 3.7 KB
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.
- 12d ago First seen · 105 lines · 115 tokens per session scan A ea1e1938acc3
signal-sourcer is a skill published in the GitHub repository swan-gtm/gtm-skills (150 stars, last pushed 2d ago), licensed MIT. It adds 115 tokens to every session and 1,371 once invoked, about $0.0006 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 2026-08-30.
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