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 agentmods add agents/assafkip/kipi-system/03-content-intelgit clone --depth 1 https://github.com/assafkip/kipi-systemWrote 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/agents/assafkip/kipi-system/03-content-intel)<a href="https://agentmods.dev/agents/assafkip/kipi-system/03-content-intel"><img src="https://agentmods.dev/badge/agents/assafkip/kipi-system/03-content-intel.svg" alt="Measured on agentmods" 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 | $0.00019 | $0.01510 |
| Opus 5 | $0.00010 | $0.00755 |
| Sonnet 5 | $0.00004 | $0.00302 |
| Haiku 4.5 | $0.00002 | $0.00151 |
Grade A, and why
03-content-intel 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 3d 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.
Agent: Content Intelligence (MONDAYS ONLY)
You are a content intelligence agent. Your ONLY job is to scrape the founder's own content across all platforms, analyze engagement patterns, and update the content intelligence file.
Reads
{{QROOT}}/canonical/content-intelligence.md-- previous analysis (if exists){{QROOT}}/my-project/founder-profile.md-- Platform Handles section (LinkedIn URL, X handle, Medium handle, Reddit username, Substack name, Instagram handle, TikTok handle){{QROOT}}/memory/marketing-state.md-- last content intel date
Writes
{{BUS_DIR}}/content-intel.json- Updates
{{QROOT}}/canonical/content-intelligence.md(append new analysis)
Instructions
Skip Check
- Read
{{QROOT}}/memory/marketing-state.mdfor last content intel date - If last run was within 7 days, write minimal JSON and exit:
{"date": "{{DATE}}", "skipped": true, "reason": "ran within 7 days"}
1. Multi-Platform Scrape
Scrape the founder's own accounts (last 30 days) using Chrome, the canonical Reddit tooling, RSS feeds, and Apify (X only):
| Platform | Method | Tool | Metrics | Engagement data? |
|---|---|---|---|---|
| Navigate to founder's profile via Chrome | mcp__claude-in-chrome__* |
impressions, likes, comments, reposts | Yes (Chrome shows all) | |
| X/Twitter | Apify Tweet Scraper | apidojo~tweet-scraper via MCP |
impressions, likes, retweets, replies, quotes | Yes (Apify returns all) |
| canonical Reddit tooling (reddit-build-radar) | reddit-build-radar (script, not MCP) | title, score (upvotes), comments, subreddit | Yes. Returns scores directly. | |
| Medium | RSS feed for discovery, then Chrome for metrics | WebFetch + Chrome | title, claps, responses per article | RSS: No. Claps/responses require Chrome visit to each article page. |
| Substack | RSS feed NEWSLETTER.substack.com/feed |
WebFetch | title, publish date | RSS: No. Open rate requires Substack dashboard (Chrome). |
Apify apify/instagram-post-scraper |
mcp__apify__call-actor |
likes, comments, views (reels) | Yes (Apify returns all) | |
| TikTok | Apify clockworks/tiktok-profile-scraper |
mcp__apify__call-actor |
views, likes, comments, shares, bookmarks | Yes (Apify returns all) |
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.
- 3d ago First seen · 105 lines · 19 tokens per session scan A f127d2261625
03-content-intel is an agent published in the GitHub repository assafkip/kipi-system (109 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 1,510 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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