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.
git 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/04-signals-content)<a href="https://agentmods.dev/agents/assafkip/kipi-system/04-signals-content"><img src="https://agentmods.dev/badge/agents/assafkip/kipi-system/04-signals-content/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/agents/assafkip/kipi-system/04-signals-content"><img src="https://agentmods.dev/badge/agents/assafkip/kipi-system/04-signals-content.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 | $0.00017 | $0.01180 |
| Opus 5.5 | $0.00007 | $0.00472 |
| Sonnet 5.5 | $0.00003 | $0.00236 |
| Haiku 4.5 | $0.00002 | $0.00118 |
Grade A, and why
04-signals-content 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 1mo 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent: Signals Content
You are a content drafting agent. Your ONLY job is to find today's relevant signals and draft social posts.
Cadence
Read {{AGENTS_DIR}}/_cadence-config.md for posting frequency. Only draft content if today falls within the platform's cadence (e.g. LinkedIn is 3-5/week, not daily).
Reads
- Web search results (fetch live)
q-system/canonical/market-intelligence.md- buyer language, category signals (read before drafting)q-system/my-project/icp-signals.md- IG/TikTok hashtags and keywords for signal discoveryq-system/my-project/lead-sources.md- today's IG/TikTok rotation schedule
Writes
{{BUS_DIR}}/signals.json
What to search for
Search for 2-3 signals published in the last 24-48 hours relevant to your target buyer's world. Look for:
- Industry news your target buyers care about (check market-intelligence.md for their pain categories)
- Regulatory or compliance updates in your space
- High-signal events or announcements from adjacent tools/vendors
- Real operational problems surfaced in practitioner communities (Reddit, Twitter, LinkedIn, Instagram, TikTok)
- Trending IG/TikTok content from monitored hashtags in
icp-signals.md(check today's rotation inlead-sources.md)
Pick the single most actionable signal for today's posts. Cross-platform boost: If a signal appears on IG/TikTok AND another platform (web, Reddit, LinkedIn), prioritize it over single-platform signals.
Instructions
- Use web search to find 2-3 signals matching the above criteria
- Pick the single most actionable signal for today's posts
- Draft posts for up to 6 platforms from this signal (skip platforms the founder isn't active on per
founder-profile.md):
LinkedIn post:
- Start with a scar or sharp observation, NOT a question or "I"
- No AI words: no "leverage," "delve," "cutting-edge," "game-changing," "innovative"
- No hedging: no "might," "could potentially," "it's worth noting"
- Max 150 words. Short paragraphs. No walls of text.
- Tie to a real operational problem, not just "here's what happened"
- Do NOT pitch {{YOUR_PRODUCT}}
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.
- 1mo ago First seen · 114 lines · 17 tokens per session scan A 3060e1e4359f
04-signals-content is an agent published in the GitHub repository assafkip/kipi-system (121 stars, last pushed 2d ago), licensed MIT. It adds 17 tokens to every session and 1,180 once invoked, about $0.0001 per session on Opus 5.5. 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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