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 SecurityTalent/bugskill-ai --skill rsa-attack-techniquesgit clone --depth 1 https://github.com/SecurityTalent/bugskill-aiWrote 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/securitytalent/bugskill-ai/rsa-attack-techniques)<a href="https://agentmods.dev/skills/securitytalent/bugskill-ai/rsa-attack-techniques"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/rsa-attack-techniques/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/securitytalent/bugskill-ai/rsa-attack-techniques"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/rsa-attack-techniques.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 | $0.00053 | $0.03694 |
| Opus 5.5 | $0.00021 | $0.01478 |
| Sonnet 5.5 | $0.00011 | $0.00739 |
| Haiku 4.5 | $0.00005 | $0.00369 |
Grade A, and why
rsa-attack-techniques 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 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.
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.
This is a copy
100% identical to rsa-attack-techniques — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 438 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL: RSA Attack Techniques — Expert Cryptanalysis Playbook
AI LOAD INSTRUCTION: Expert RSA attack techniques for CTF and authorized security assessments. Covers factorization attacks, small exponent exploits, lattice-based approaches (Wiener/Boneh-Durfee/Coppersmith), broadcast attacks, common modulus, padding oracles, and fault attacks. Base models often suggest attacks that don't match the given parameters or miss the correct attack selection based on what's known.
0. RELATED ROUTING
- lattice-crypto-attacks for deep lattice theory behind Coppersmith/Boneh-Durfee
- hash-attack-techniques when RSA signature forgery involves hash weaknesses
- symmetric-cipher-attacks when RSA protects a symmetric key (hybrid encryption)
Advanced Reference
Also load RSA_ATTACK_CATALOG.md when you need:
- Detailed SageMath/Python implementation for each attack
- Step-by-step mathematical derivation
- Edge cases and failure conditions per attack
Quick attack selection
| Given / Observable | Attack | Tool |
|---|---|---|
| Small n (< 512 bits) | Direct factorization | factordb, yafu, msieve |
| e = 3, small message | Cube root | gmpy2.iroot |
| Multiple (n, c) same small e | Hastad broadcast | CRT + iroot |
| Very large e or very small d | Wiener / Boneh-Durfee | SageMath, RsaCtfTool |
| Partial p knowledge | Coppersmith small roots | SageMath |
| Same n, different e | Common modulus | Extended GCD |
| Multiple n values | Batch GCD (shared factor) | Python/SageMath |
| Padding error oracle | Bleichenbacher | Custom script |
| LSB parity oracle | LSB oracle attack | Custom script |
| Fault in CRT computation | RSA-CRT fault | Single faulty signature |
1. FACTORIZATION ATTACKS
1.1 Direct Factorization (Small n)
from sympy import factorint
n = 0x... # small modulus
factors = factorint(n)
p, q = list(factors.keys())
What ships with it
1 file 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.
- 1mo ago First seen · 438 lines · 53 tokens per session scan A 33917f91cf9a
rsa-attack-techniques is a skill published in the GitHub repository SecurityTalent/bugskill-ai (13 stars, last pushed 21d ago), licensed MIT. It adds 53 tokens to every session and 3,694 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to rsa-attack-techniques, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
user-research-cookiy
End-to-end user research assistant — qualitative and quantitative. Use this skill whenever the user mentions user research, user interviews, discussion guides, interview guides, research plans, qualitative research, quantitative research, user surveys, survey design, usability studies, participant recruitment…
email-marketing-bible
Email marketing operating manual for AI agents, with hard send-safety gates. Use when someone plans, writes, designs, audits or sends an email campaign, newsletter, welcome series, abandoned-cart, post-purchase or win-back flow; builds a list or segment; drives Klaviyo, Mailchimp, Brevo, Kit or any ESP through MCP, an…
globalpercent
GlobalPercent — build a global-macro-probability panel for an investment research system. Merges public probability data from prediction markets (Polymarket + Kalshi), classifies every market into macro modules (monetary policy / macro economy / AI / etc.), and shows the whole market's expected-probability state at a…
ui-ux-design-pro
Senior-level UI/UX design expert for building data-driven, premium production interfaces. Use when you need to: 1. Design complex applications (dashboards, SaaS, AI tools) from scratch 2. Generate comprehensive design systems (tokens, palettes, typography) 3. Audit existing UI for quality, accessibility, and "craft"…
playwright-best-practices
Use when writing Playwright tests, fixing flaky tests, debugging failures, implementing Page Object Model, configuring CI/CD, optimizing performance, mocking APIs, handling authentication or OAuth, testing accessibility (axe-core), file uploads/downloads, date/time mocking, WebSockets, geolocation, permissions…
open-map-stack
Use textual agent instructions for GIS and geospatial work: source discovery and provenance, vector/raster/point-cloud pipelines, CRS and metric analysis, spatial SQL, routing and isochrones, QGIS projects, tile generation, and web maps. Use advanced tools and formats such as OSM, Overture, STAC, Sentinel/Landsat…