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 gtmagents/gtm-agents --skill market-signal-trackergit clone --depth 1 https://github.com/gtmagents/gtm-agentsWrote 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/gtmagents/gtm-agents/market-signal-tracker)<a href="https://agentmods.dev/skills/gtmagents/gtm-agents/market-signal-tracker"><img src="https://agentmods.dev/badge/skills/gtmagents/gtm-agents/market-signal-tracker/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/gtmagents/gtm-agents/market-signal-tracker"><img src="https://agentmods.dev/badge/skills/gtmagents/gtm-agents/market-signal-tracker.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 | $0.00022 | $0.00310 |
| Opus 5 | $0.00011 | $0.00155 |
| Sonnet 5 | $0.00004 | $0.00062 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
market-signal-tracker 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.
What it actually says
Market Signal Tracker Skill
When to Use
- Monitoring competitor launches, pricing moves, org shifts, funding, or partner announcements.
- Tracking analyst coverage, customer chatter, or social sentiment around competitors.
- Ensuring signals route to the right owners with context and deadlines.
Framework
- Signal Intake – capture source, timestamp, competitor, category (product, pricing, GTM, talent, regulation).
- Severity & Confidence – rate potential impact, confidence level, and affected product/segment.
- Routing – assign owners (product, enablement, comms, exec) with SLA + follow-up notes.
- Action Status – track planned/active/completed actions linked to each signal.
- Reporting – weekly digest summarizing net-new signals, escalations, and outstanding actions.
Templates
- Signal log spreadsheet or Notion database with views by competitor/category.
- Weekly digest template with highlights, escalations, and recommended actions.
- Action tracker with owner, due date, and dependency fields.
Tips
- Automate ingestion by connecting RSS, alerts, and social monitoring; maintain manual overrides for high-sensitivity items.
- Keep a rolling 90-day archive to reference trends and repeat patterns.
- Pair with
analyze-competitive-landscapeandrun-win-loss-programfor holistic perspective.
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 · 32 lines · 22 tokens per session scan A 223d02d0a82b
market-signal-tracker is a skill published in the GitHub repository gtmagents/gtm-agents (399 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 310 once invoked, about $0.0001 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 2026-09-03.
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