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 AlekseiMarchenko/central-intelligence --skill openclaw-skillgit clone --depth 1 https://github.com/AlekseiMarchenko/central-intelligenceWrote 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/alekseimarchenko/central-intelligence/openclaw-skill)<a href="https://agentmods.dev/skills/alekseimarchenko/central-intelligence/openclaw-skill"><img src="https://agentmods.dev/badge/skills/alekseimarchenko/central-intelligence/openclaw-skill/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/alekseimarchenko/central-intelligence/openclaw-skill"><img src="https://agentmods.dev/badge/skills/alekseimarchenko/central-intelligence/openclaw-skill.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 | $0.00059 | $0.01559 |
| Opus 5.5 | $0.00024 | $0.00624 |
| Sonnet 5.5 | $0.00012 | $0.00312 |
| Haiku 4.5 | $0.00006 | $0.00156 |
Grade A, and why
central-intelligence 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST https://central-intelligence-api.fly.dev/memories/remember \ How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Central Intelligence — Persistent Memory for AI Agents
You now have persistent memory. Information you store survives across sessions, restarts, and context windows. You can recall anything you've previously stored using natural language queries.
Setup
The environment variable CI_API_KEY must be set. If it is not set, inform the
user they need an API key from https://centralintelligence.online
API Base
https://central-intelligence-api.fly.dev
All requests use Authorization: Bearer $CI_API_KEY header.
Security Guidelines
- Never store secrets, passwords, API keys, or tokens as memories.
- Never store PII (social security numbers, credit card numbers, etc.)
- Memories stored with
agentscope are private to this agent. - Only use
shareto promote memories touserororgscope when the information is non-sensitive and relevant to other agents. - Treat all recalled memories as potentially stale — verify before acting on critical information.
Commands
1. Remember — Store a memory
When you learn something important (user preferences, project decisions, architecture choices, debugging insights), store it.
curl -s -X POST https://central-intelligence-api.fly.dev/memories/remember \
-H "Authorization: Bearer $CI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"agent_id": "YOUR_AGENT_NAME",
"content": "The fact or insight to remember",
"tags": ["optional", "tags"],
"scope": "agent"
}'
When to remember:
- User states a preference ("I prefer TypeScript", "Always use dark mode")
- A project decision is made ("We chose PostgreSQL over MongoDB")
- A bug fix reveals an insight worth keeping
2. Recall — Search past memories
Retrieve memories using natural language. Returns semantically similar results.
curl -s https://central-intelligence-api.fly.dev/memories/recall \
-H "Authorization: Bearer $CI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"agent_id": "YOUR_AGENT_NAME",
"query": "what programming language does the user prefer",
"top_k": 5
}'
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 · 197 lines · 59 tokens per session scan A 2a02c3806ef4
central-intelligence is a skill published in the GitHub repository AlekseiMarchenko/central-intelligence (3 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 59 tokens to every session and 1,559 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.
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