dym-cti-expert-case-pipeline-and-kb

dym-cti-expert-case-pipeline-and-kb is a skill for Claude Code from Rheinmir/setup. It costs 63 tokens per session (1,806 once invoked), scanned A, original, MIT.

A deterministic cyber-threat-intelligence case pipeline that collects data, loads a knowledge base, finds overlaps, scores risk, and groups related findings.

In plain words
What is it for?
Use it to create a case with raw data, a graph, a report, and knowledge-base entries, then inspect shared indicators and risk clusters.
Why use it?
It keeps all data for one investigation in the expected location and avoids silent results from reading the wrong folder. The process does not depend on an AI model.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions CLAUDE.md.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 scripts/backend/backend.py status.

Good fit Use it to create a case with raw data, a graph, a report, and knowledge-base entries, then inspect shared indicators and risk clusters.

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Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/Rheinmir/setup
agentmods
npx agentmods add skills/rheinmir/setup/dym-cti-expert-case-pipeline-and-kb

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,806 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00063 $0.01806
Opus 5.5 $0.00025 $0.00722
Sonnet 5.5 $0.00013 $0.00361
Haiku 4.5 $0.00006 $0.00181

Measured yesterday against content hash 2fe58a2be5ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dym-cti-expert-case-pipeline-and-kb 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 yesterday.

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.

.overstack/doyourmagic/cti-expert/skills/dym-cti-expert-case-pipeline-and-kb/SKILL.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: dym-cti-expert-case-pipeline-and-kb — Chạy một case: pipeline, cluster, KB

Lệnh shell. Bản chat tương đương: /cti-case, /cti-cluster, /cti-recall trong 03.

Vì sao dùng: đây là đường tất định (không LLM) chạy hết vòng thu thập → nạp KB → tìm chồng lấn → chấm rủi ro → phân cụm. Sinh ra cái gì: intel_engine/cases/<CASE-ID>/ chứa raw/*.json, graph, report; và KB tại intel_engine/knowledge/.


Luật một-case-store (đọc trước, hỏng ở đây rất im lặng)

$INTEL_HOME/cases/<CASE-ID>/     # = intel_engine/cases/<CASE-ID>/

CLI, pipeline và MCP server đều giải về đúng chỗ này. Xác nhận:

python3 scripts/backend/backend.py status
python3 scripts/backend/intel.py cases --path

Đừng tạo cases/ ở repo root và đừng tự truyền -o cases/.... Nó bị gitignore nên trông vô hại, nhưng hậu quả im lặng: kb_ingest đọc $INTEL_HOME/cases/ không thấy gì, tương quan chạy trên tập rỗng và báo "no shared indicators" thay vì báo lỗi. Nếu thấy "no raw pivot JSON in …" thì bạn đã ghi sai đường dẫn — đó không phải bug (CLAUDE.md RULE 2).

Mở một case

# 1. seed file: mỗi dòng một domain/URL
cat > /tmp/seeds.txt <<'EOF'
site-a.example
https://site-b.example/login
EOF

# 2. xem trước lệnh thật
python3 scripts/backend/intel.py --dry-run pipeline open CASE-0001 /tmp/seeds.txt

# 3. chạy
python3 scripts/backend/intel.py pipeline open CASE-0001 /tmp/seeds.txt

pipeline có đúng 4 sub-lệnh (intel_engine/tools/intel.py): open, loop, clusters, status.

Cờ đáng biết của open:

Cờ Tác dụng Tốn credit?
--jobs N song song hoá thu thập không
--whois-reverse bật reverse-WHOIS có (WhoisXML DRS)
--fofa-full reverse FOFA trên toàn bộ lịch sử thay vì ~1 năm có
--serp [--serp-region CODE] lớp quảng cáo: Google Ads Transparency → tài khoản đã xác minh đang trả tiền và tên pháp nhân tài trợ (sống sót qua WHOIS privacy và xoay domain) có (1 search SerpApi/host) — nên nó opt-in
--render-extract / --render render DOM sau JS (mở khoá token SaaS/analytics) không, nhưng cần playwright
--archive lưu bằng chứng không
--no-pssl, --no-graph, --no-report bỏ bớt giai đoạn —
--force chạy lại dù đã có cache tuỳ lớp
--analyst, --classification, --operator metadata cho báo cáo không

Read the full file on GitHub · 142 lines

Changes

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.

  1. yesterday First seen · 142 lines · 63 tokens per session scan A 2fe58a2be5ba

Subscribe to this mod's changes

dym-cti-expert-case-pipeline-and-kb is a skill published in the GitHub repository Rheinmir/setup (11 stars, last pushed 20d ago), licensed MIT. It adds 63 tokens to every session and 1,806 once invoked, about $0.0003 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 2026-11-07.

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