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 Zevenue/headless-gtm --skill 05-signal-buildergit clone --depth 1 https://github.com/Zevenue/headless-gtmWrote 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/zevenue/headless-gtm/05-signal-builder)<a href="https://agentmods.dev/skills/zevenue/headless-gtm/05-signal-builder"><img src="https://agentmods.dev/badge/skills/zevenue/headless-gtm/05-signal-builder/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/zevenue/headless-gtm/05-signal-builder"><img src="https://agentmods.dev/badge/skills/zevenue/headless-gtm/05-signal-builder.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 | $0.00204 | $0.03233 |
| Opus 5 | $0.00102 | $0.01617 |
| Sonnet 5 | $0.00041 | $0.00647 |
| Haiku 4.5 | $0.00020 | $0.00323 |
Grade A, and why
05-signal-builder 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 11d 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 — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Signal Builder - the judgment layer (05)
Signal vendors sell facts ("company X raised", "company Y is hiring"). Scrapers sell pages. Neither tells you whether a fact is a Pain-led trigger, a Value-led opening, or noise for this particular client. That call - which finding matters, how much, and what to do with it - is this skill. It runs on model judgment alone: no API key, no credits spent.
Two ways in:
| You have | Mode |
|---|---|
| One prospect - a URL, pasted content, or a content file | A - Single prospect |
| Chain output - records.jsonl and run folders from 01/02/03/04 | B - Batch over records |
Both modes need icp_context, and both produce the same two outputs: a human report
and chain records.
icp_context and icp_shape
icp_context (required): what the client sells, who they sell to, and what pain it
removes. 2-4 sentences is enough. If it's missing, ask once - accept a pasted
description or a file path. A signal only exists relative to this context: a hiring
spree is a 9 for one client and noise for another.
icp_shape picks the calibration catalog:
| Shape | Prospects look like | Catalog |
|---|---|---|
b2b-saas |
funded companies, title-based orgs, tech stacks, exec moves | references/signal-types-b2b-saas.md |
vertical-smb |
local or owner-operated - studios, venues, clinics, restaurants, trades | references/signal-types-vertical-smb.md |
If the user doesn't pass a shape, infer it from icp_context (end-customers that are
local, Maps-addressable businesses → vertical-smb; otherwise b2b-saas) and state
which one you picked. Read the catalog before scanning - it carries the per-shape
scoring adjustments, not just examples. For a vertical neither catalog fits, see
references/calibration-guide.md.
Mode A - single prospect
- Get content. Pasted or file content: use as-is. URL only: if the 03-firecrawl-research skill is installed, run its standard mode and use the scan output; otherwise fetch the high-signal pages directly (homepage, /about, /careers, /pricing, /blog) with whatever fetch tool is available. List any page you couldn't get - a missing careers page is a coverage gap to report, not a zero signal.
- Judge (method below) and write the report. If this prospect is part of a chain run, also emit a record (Mode B, step 3).
What ships with it
5 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.
- 11d ago First seen · 258 lines · 204 tokens per session scan A a007eb76e5d2
05-signal-builder is a skill published in the GitHub repository Zevenue/headless-gtm (27 stars, last pushed 1mo ago), licensed MIT. It adds 204 tokens to every session and 3,233 once invoked, about $0.0010 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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