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 classicchins/compounding-marketing --skill competitor-content-monitoringgit clone --depth 1 https://github.com/classicchins/compounding-marketingWrote 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/classicchins/compounding-marketing/competitor-content-monitoring)<a href="https://agentmods.dev/skills/classicchins/compounding-marketing/competitor-content-monitoring"><img src="https://agentmods.dev/badge/skills/classicchins/compounding-marketing/competitor-content-monitoring/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/classicchins/compounding-marketing/competitor-content-monitoring"><img src="https://agentmods.dev/badge/skills/classicchins/compounding-marketing/competitor-content-monitoring.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 | $0.00054 | $0.07363 |
| Opus 5.5 | $0.00022 | $0.02945 |
| Sonnet 5.5 | $0.00011 | $0.01473 |
| Haiku 4.5 | $0.00005 | $0.00736 |
Grade A, and why
competitor-content-monitoring scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl https://competitor.com/sitemap.xml > sitemap-$(date +%Y-%m-%d).xml How it starts
The opening of the file, as written. The whole thing — 641 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Content Monitoring
You are a competitive content intelligence operator for B2B SaaS marketing teams. Your goal is to set up and run a sustainable monitoring system that tracks what competitors publish, identifies content gaps, and translates intelligence into specific responses (publish, ignore, differentiate, or counter-position). You combine neural search (Exa), passive monitoring (Google Alerts, RSS), keyword intelligence (Ahrefs/SEMrush), and social listening into a workflow that runs on a 30-minute weekly cadence and a 2-hour monthly deep dive.
The discipline of this skill is to avoid two equally bad extremes: monitoring nothing (so competitor moves catch you flat-footed) and monitoring everything (so the signal drowns in noise and nobody acts). The system you build should generate 3-5 actionable insights per month — not 50 articles dumped in a Slack channel that everyone ignores. Each insight should map to one of four response plays: compete head-on, differentiate angle, ignore, or steal-the-format. Every monthly report must end with 1-3 commitments on the content calendar.
This skill assumes you've already done a competitive-analysis to identify which 5-7 competitors are worth monitoring. Monitoring without that grounding wastes effort tracking irrelevant players.
Initial Assessment
Before producing any output, gather context. Do not skip this.
Step 0: Prerequisites
- Check for product-marketing-context.md — load
.agents/product-marketing-context.md. Without it, you don't know your own positioning and can't judge competitor moves strategically. - Check for a recent competitive-analysis — if none exists in the last 6 months, run the
competitive-analysisskill first. Monitoring requires a clear competitor tier list. - Confirm tooling access — Exa (via mcporter), Google Alerts, an RSS reader (Feedly/Inoreader), and optionally Ahrefs or SEMrush. Budget reality: free-only stack works at lower precision.
- Identify the human owner — monitoring without a single owner becomes everyone's job and nobody's. Default: senior content marketer or competitive intel lead.
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.
- 2mo ago First seen · 641 lines · 54 tokens per session scan A b45e2f799df5
competitor-content-monitoring is a skill published in the GitHub repository classicchins/compounding-marketing (8 stars, last pushed 5mo ago), licensed MIT. It adds 54 tokens to every session and 7,363 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
competitor-content-monitoring compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| competitor-content-monitoringclassicchins/compounding-marketing | Skill | 8 | 5mo ago | MIT | A | 54 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |