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.
git clone --depth 1 https://github.com/Rheinmir/setupnpx agentmods add skills/rheinmir/setup/dym-cti-expert-case-pipeline-and-kbWrote 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/rheinmir/setup/dym-cti-expert-case-pipeline-and-kb)<a href="https://agentmods.dev/skills/rheinmir/setup/dym-cti-expert-case-pipeline-and-kb"><img src="https://agentmods.dev/badge/skills/rheinmir/setup/dym-cti-expert-case-pipeline-and-kb/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/rheinmir/setup/dym-cti-expert-case-pipeline-and-kb"><img src="https://agentmods.dev/badge/skills/rheinmir/setup/dym-cti-expert-case-pipeline-and-kb.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 | $0.00063 | $0.01806 |
| Opus 5.5 | $0.00025 | $0.00722 |
| Sonnet 5.5 | $0.00013 | $0.00361 |
| Haiku 4.5 | $0.00006 | $0.00181 |
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.
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-recalltrong 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 |
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.
- yesterday First seen · 142 lines · 63 tokens per session scan A 2fe58a2be5ba
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.
dym-cti-expert-case-pipeline-and-kb compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dym-cti-expert-case-pipeline-and-kbRheinmir/setup | Skill | 11 | 20d ago | MIT | A | 63 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
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| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |