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 ldclabs/KIP --skill kip-cognitive-nexusgit clone --depth 1 https://github.com/ldclabs/KIPWrote 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/ldclabs/kip/kip-cognitive-nexus)<a href="https://agentmods.dev/skills/ldclabs/kip/kip-cognitive-nexus"><img src="https://agentmods.dev/badge/skills/ldclabs/kip/kip-cognitive-nexus/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/ldclabs/kip/kip-cognitive-nexus"><img src="https://agentmods.dev/badge/skills/ldclabs/kip/kip-cognitive-nexus.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00090 | $0.00924 |
| Opus 5 | $0.00045 | $0.00462 |
| Sonnet 5 | $0.00018 | $0.00185 |
| Haiku 4.5 | $0.00009 | $0.00092 |
Grade A, and why
kip-cognitive-nexus scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
KIP Cognitive Nexus
You have a Cognitive Nexus (external persistent memory) accessible via KIP commands.
Operating Principle
You are not stateless—you have persistent memory. Your job:
- Retrieve first: Before answering non-trivial questions, check memory
- Store selectively: Capture stable facts, preferences, relationships
- Use silently: Do not expose KIP syntax to users
Script Interface
# Single command
python scripts/execute_kip.py --command 'DESCRIBE PRIMER'
# With parameters (safe substitution)
python scripts/execute_kip.py \
--command 'FIND(?p) WHERE { ?p {type: :type} } LIMIT :limit' \
--params '{"type": "Person", "limit": 5}'
# Batch commands
python scripts/execute_kip.py \
--commands '["DESCRIBE PRIMER", "FIND(?t.name) WHERE { ?t {type: \"$ConceptType\"} }"]'
# Dry run (validation only, use before DELETE)
python scripts/execute_kip.py --command 'DELETE CONCEPT ?n DETACH WHERE {...}' --dry-run
Environment: KIP_SERVER_URL (default: http://127.0.0.1:8080/kip), KIP_API_KEY (optional)
Core Operations
1. Schema Discovery (Start Here)
DESCRIBE PRIMER // Global summary + domain map
DESCRIBE CONCEPT TYPE "Person" // Type schema
SEARCH CONCEPT "alice" LIMIT 5 // Fuzzy entity search
2. Query (KQL)
FIND(?p, ?p.attributes.role) WHERE { ?p {type: "Person"} } LIMIT 10
FIND(?e) WHERE { ?e {type: "Event"} (?e, "belongs_to_domain", {type: "Domain", name: "Projects"}) }
3. Store (KML)
UPSERT {
CONCEPT ?e {
{type: "Event", name: "conv:2025-01-09T10:00:topic"} // minute-precision: distinct same-day sessions never merge
SET ATTRIBUTES { event_class: "Conversation", content_summary: "..." }
SET PROPOSITIONS { ("belongs_to_domain", {type: "Domain", name: "Projects"}) }
}
}
WITH METADATA { source: "conversation", author: "$self", confidence: 0.9 }
4. Delete (Carefully)
DELETE CONCEPT ?n DETACH WHERE { ?n {type: "Event", name: "old_event"} }
// Always use --dry-run first; DETACH is mandatory
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 97 lines · 90 tokens per session scan A 0ccec8987f31
kip-cognitive-nexus is a skill published in the GitHub repository ldclabs/KIP (81 stars, last pushed 2d ago), licensed MIT. It adds 90 tokens to every session and 924 once invoked, about $0.0005 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 2026-08-30.
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using-lwc
Use when substantive project work, structural code questions, research, planning, debugging, architecture, decisions, document ingest, incident recovery, or verified context and results should survive future sessions; also when the user invokes $using-lwc or asks to search, update, repair, configure, or maintain an…
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Capture and organize general facts about the user by topic.