Borrowing it
Nothing to install: this file belongs to Othmane-Khadri/gtm-engineer-playbook. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Othmane-Khadri/gtm-engineer-playbook/main/.claude/skills/gtm-playbook/signal-scanner/SKILL.mdgit clone --depth 1 https://github.com/Othmane-Khadri/gtm-engineer-playbookWrote 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/othmane-khadri/gtm-engineer-playbook/signal-scanner)<a href="https://agentmods.dev/skills/othmane-khadri/gtm-engineer-playbook/signal-scanner"><img src="https://agentmods.dev/badge/skills/othmane-khadri/gtm-engineer-playbook/signal-scanner/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/othmane-khadri/gtm-engineer-playbook/signal-scanner"><img src="https://agentmods.dev/badge/skills/othmane-khadri/gtm-engineer-playbook/signal-scanner.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 | $0.00058 | $0.02790 |
| Opus 5 | $0.00029 | $0.01395 |
| Sonnet 5 | $0.00012 | $0.00558 |
| Haiku 4.5 | $0.00006 | $0.00279 |
Grade A, and why
signal-scanner 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 — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Signal Scanner
Detect, score, and prioritize buying signals for target accounts. This skill searches for live signals using WebSearch, scores them on a Fit x Timing x Access x Intent framework, and produces a prioritized action list for GTM teams.
Tools Used
- WebSearch — find real-time signals (funding, hiring, product launches, etc.)
- Read — load
docs/icp.mdif it exists (output from the ICP Architect skill) - Write — save per-company signal reports and summary
- Glob — check for existing signal files to avoid duplicate work
Methodology
Follow these steps in order. Do not skip steps. Do not fabricate data.
Step 1: Context Loading
Check if docs/icp.md exists using Glob.
If it exists: Read it. Extract ICP segments, buyer personas, and known buying signals. Summarize what you loaded so the user can confirm.
If it does not exist: Ask the user three questions before proceeding:
- What does your company sell? (one sentence)
- Who is your ideal buyer? (title, company size, industry)
- What signals indicate someone needs your solution? (list 3-5)
Wait for answers. Do not assume.
Step 2: Signal Taxonomy
Present the full taxonomy of 20 signal types across 4 categories. Ask the user to select 8-12 that are most relevant to their business. Only scan for the selected signal types in Step 3.
Company-Level Signals
- Fundraise announcement — Seed, Series A, B, C+ rounds
- Leadership change — New CXO, VP Sales, VP Marketing, Head of Growth
- Hiring pattern — SDR hiring spree, GTM engineering roles, marketing hires
- Product launch — Major feature release, new product line, GA announcement
- Partnership or integration — New tech partner, channel partner, integration announcement
- Tech stack change — Detected via job postings, BuiltWith, Wappalyzer, or press releases
- Office expansion — New market entry, new office location, international expansion
- Pricing change — New tier launch, pricing model shift, free tier added/removed
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 · 243 lines · 58 tokens per session scan A f36dc09f1ba6
signal-scanner is a skill published in the GitHub repository Othmane-Khadri/gtm-engineer-playbook (56 stars, last pushed 5mo ago), licensed MIT. It adds 58 tokens to every session and 2,790 once invoked, about $0.0003 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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