Borrowing it
Nothing to install: this file belongs to dfirtnt/Huntable-CTI-Studio. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dfirtnt/Huntable-CTI-Studio/main/.cursor/skills/rs/SKILL.mdgit clone --depth 1 https://github.com/dfirtnt/Huntable-CTI-StudioWrote 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/dfirtnt/huntable-cti-studio/rs)<a href="https://agentmods.dev/skills/dfirtnt/huntable-cti-studio/rs"><img src="https://agentmods.dev/badge/skills/dfirtnt/huntable-cti-studio/rs/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/dfirtnt/huntable-cti-studio/rs"><img src="https://agentmods.dev/badge/skills/dfirtnt/huntable-cti-studio/rs.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 | $0.00000 | $0.00288 |
| Opus 5 | $0.00000 | $0.00144 |
| Sonnet 5 | $0.00000 | $0.00058 |
| Haiku 4.5 | $0.00000 | $0.00029 |
Grade A, and why
rs 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 11d 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.
What it actually says
RS — Rescore All Articles
When the user says rs, run both rescore commands. Do not commit or push; this is data-only.
Commands (in order)
-
Keyword/regex hunt scores —
threat_hunting_scorein article metadata:./run_cli.sh rescore --force -
ML hunt scores —
ml_hunt_scorefrom chunk-level model predictions:./run_cli.sh rescore-ml --force
When to use
- After changing scoring rules (keyword rescore).
- After retraining the ML model or changing aggregation (rescore-ml).
- To backfill or refresh all article scores.
Optional scope
- Single article:
./run_cli.sh rescore --article-id ID --forceand./run_cli.sh rescore-ml --article-id ID --force. - Dry run: add
--dry-runto either command to preview without writing.
Out of scope
- No
git add/ commit / push (use lg for that).
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.
- 11d ago First seen · 36 lines · 0 tokens per session scan A 69df80cce0d2
rs is a skill published in the GitHub repository dfirtnt/Huntable-CTI-Studio (11 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 288 tokens. 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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