Constant Time Testing
trailofbits/skills
Measures timing side channels in cryptographic implementations by running them, using dudect for statistical analysis and Timecop over Valgrind for dynamic tracing.
Agent skill
Analyzing Threat Landscape With Misp
Query a MISP (Malware Information Sharing Platform) instance via PyMISP to compute event statistics, IOC type breakdowns, threat actor galaxy clusters, and tag trends, and generate threat landscape…
Install Analyzing Threat Landscape With Misp
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-threat-landscape-with-misp -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-threat-landscape-with-misp --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analyzing-threat-landscape-with-misp .claude/skills/analyzing-threat-landscape-with-misp && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "analyzing-threat-landscape-with-misp" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-threat-landscape-with-misp into .claude/skills/analyzing-threat-landscape-with-misp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-threat-landscape-with-misp", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-threat-landscape-with-mispType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-threat-landscape-with-misp -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-threat-landscape-with-misp --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/analyzing-threat-landscape-with-misp .agents/skills/analyzing-threat-landscape-with-misp && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "analyzing-threat-landscape-with-misp" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-threat-landscape-with-misp into .agents/skills/analyzing-threat-landscape-with-misp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-threat-landscape-with-misp", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-threat-landscape-with-misp -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-threat-landscape-with-misp --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/analyzing-threat-landscape-with-misp .cursor/skills/analyzing-threat-landscape-with-misp && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "analyzing-threat-landscape-with-misp" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-threat-landscape-with-misp into .cursor/skills/analyzing-threat-landscape-with-misp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-threat-landscape-with-misp", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/analyzing-threat-landscape-with-misp--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-threat-landscape-with-misp -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-threat-landscape-with-misp --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/analyzing-threat-landscape-with-misp .gemini/skills/analyzing-threat-landscape-with-misp && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "analyzing-threat-landscape-with-misp" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-threat-landscape-with-misp into .gemini/skills/analyzing-threat-landscape-with-misp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-threat-landscape-with-misp", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-threat-landscape-with-mispInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-threat-landscape-with-misp -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/analyzing-threat-landscape-with-misp .github/skills/analyzing-threat-landscape-with-misp && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "analyzing-threat-landscape-with-misp" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-threat-landscape-with-misp into .github/skills/analyzing-threat-landscape-with-misp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-threat-landscape-with-misp", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-threat-landscape-with-misp -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-threat-landscape-with-misp --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/analyzing-threat-landscape-with-misp .opencode/skills/analyzing-threat-landscape-with-misp && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "analyzing-threat-landscape-with-misp" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-threat-landscape-with-misp into .opencode/skills/analyzing-threat-landscape-with-misp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-threat-landscape-with-misp", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
analyzing-threat-landscape-with-misp- GitHub stars
- 34k
- Token cost
- ~597 tokens
- SKILL.md length
- 145 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 644
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Query a MISP (Malware Information Sharing Platform) instance via PyMISP to compute event statistics, IOC type breakdowns, threat actor galaxy clusters, and tag trends, and generate threat landscape…
- Works in 3 steps: Install dependencies: pip install pymisp → Configure MISP URL and API key. → Run the agent to generate threat…
- Asked to analyze threat intelligence data
- SKILL.md covers When to Use, Prerequisites, Instructions and Examples
- Runs Python scripts from its folder; calls python and pip
What it does
Analyzing Threat Landscape With Misp is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Query a MISP (Malware Information Sharing Platform) instance via PyMISP to compute event statistics, IOC type breakdowns, threat actor galaxy clusters, and tag trends, and generate threat landscape reports with temporal trends. Use when asked to analyze threat intelligence data, summarize top threat actors or malware families, or produce a CTI landscape report from MISP events.
Its SKILL.md is about 600 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).
It sits in Security, covering OSINT and Statistics. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.
When your agent uses it
- Asked to analyze threat intelligence data
- Summarize top threat actors
- Malware families
- Produce a CTI landscape report from MISP events
Example prompts
- “/analyzing-threat-landscape-with-misp”
Requirements
- Python 3
- A credential in YOUR_KEY
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Install dependencies: pip install pymisp
- Configure MISP URL and API key.
- Run the agent to generate threat landscape analysis
What it can do on your machine
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Analyzing Threat Landscape With Misp loads about 597 tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 104 tokens; SKILL.md has 145 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 145 words, ~597 tokens.
Download SKILL.mdSave it as
.claude/skills/analyzing-threat-landscape-with-misp/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- analyzing-threat-landscape-with-misp
- description
- Query a MISP (Malware Information Sharing Platform) instance via PyMISP to compute event statistics, IOC type breakdowns, threat actor galaxy clusters, and tag trends, and generate threat landscape reports with temporal trends. Use when asked to analyze threat intelligence data, summarize top threat actors or malware families, or produce a CTI landscape report from MISP events.
- domain
- cybersecurity
- subdomain
- threat-intelligence
- tags
- threat-intelligence, misp, threat-landscape, ioc-analysis, cti, threat-sharing
- version
- 1.0
- author
- mahipal
- license
- Apache-2.0
- d3fend_techniques
- File Metadata Consistency Validation, Application Protocol Command Analysis, Identifier Analysis, Content Format Conversion, Message Analysis
- nist_csf
- ID.RA-01, ID.RA-05, DE.CM-01, DE.AE-02
- mitre_attack
- T1566, T1071.001, T1568, T1583.001, T1102
Analyzing Threat Landscape with MISP
When to Use
- When investigating security incidents that require analyzing threat landscape with misp
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques
Prerequisites
- Familiarity with threat intelligence concepts and tools
- Access to a test or lab environment for safe execution
- Python 3.8+ with required dependencies installed
- Appropriate authorization for any testing activities
Instructions
- Install dependencies:
pip install pymisp - Configure MISP URL and API key.
- Run the agent to generate threat landscape analysis:
- Pull event statistics by threat level and date range
- Analyze attribute type distributions (IP, domain, hash, URL)
- Identify top MITRE ATT&CK techniques from event tags
- Track threat actor activity via galaxy clusters
- Generate temporal trend analysis of IOC submissions
python scripts/agent.py --misp-url https://misp.local --api-key YOUR_KEY --days 90 --output landscape_report.jsonExamples
Threat Landscape Summary
Period: Last 90 days
Events analyzed: 1,247
Top threat level: High (43%)
Top attribute type: ip-dst (31%), domain (22%), sha256 (18%)
Top MITRE technique: T1566 Phishing (89 events)
Top threat actor: APT28 (34 events)© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (scripts, references) in skills/analyzing-threat-landscape-with-misp of mukul975/Anthropic-Cybersecurity-Skills.
- SKILL.md
- LICENSE
- references/api-reference.md
- scripts/agent.py
Open the folder on GitHubat commit 54a7988
Compare with similar skills
Analyzing Threat Landscape With Misp next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Analyzing Threat Landscape With Misp this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~597 | Automated safety check: Pass | Apache-2.0 | |
| Constant Time Testingtrailofbits/skills | 7.5k | — | ~5.2k | Automated safety check: Pass | CC-BY-SA-4.0 | |
| ShadowBroker Intelligence ClientBigBodyCobain/Shadowbroker | 11k | — | ~8.9k | Automated safety check: Warn | AGPL-3.0 | |
| X Twitter Scraperhoodini/ai-agents-skills | 282 | — | ~575 | Automated safety check: Pass | None | |
| Sandbox Benchvercel/next.js | 143k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Statistical Analysisspacering-net/codeg | 3.9k | 3 repos | ~5k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Analyzing Threat Landscape With Misp
What does Analyzing Threat Landscape With Misp do?
Query a MISP (Malware Information Sharing Platform) instance via PyMISP to compute event statistics, IOC type breakdowns, threat actor galaxy clusters, and tag trends, and generate threat landscape…. Analyzing Threat Landscape With Misp is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Query a MISP (Malware Information Sharing Platform) instance via PyMISP to compute event statistics, IOC type breakdowns, threat actor galaxy clusters, and tag trends, and generate threat landscape reports with temporal trends.
When should I use Analyzing Threat Landscape With Misp?
Analyzing Threat Landscape With Misp fits situations like: asked to analyze threat intelligence data; summarize top threat actors; malware families; produce a CTI landscape report from MISP events.
How do I install Analyzing Threat Landscape With Misp in Claude Code?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-threat-landscape-with-misp -a claude-code`. Or copy the skill folder (skills/analyzing-threat-landscape-with-misp in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/analyzing-threat-landscape-with-misp in your project. Claude Code loads it when a task matches its description.
How do I install Analyzing Threat Landscape With Misp in Codex?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-threat-landscape-with-misp -a codex`. Or copy the skill folder (skills/analyzing-threat-landscape-with-misp in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/analyzing-threat-landscape-with-misp in your project. Codex loads it when a task matches its description.
Can I use Analyzing Threat Landscape With Misp in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-threat-landscape-with-misp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyzing-threat-landscape-with-misp, .gemini/skills/analyzing-threat-landscape-with-misp, .github/skills/analyzing-threat-landscape-with-misp and .opencode/skills/analyzing-threat-landscape-with-misp in your project.
What does Analyzing Threat Landscape With Misp need to run?
Going by SKILL.md and its folder, Analyzing Threat Landscape With Misp needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3; A credential in YOUR_KEY.
Does Analyzing Threat Landscape With Misp access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Analyzing Threat Landscape With Misp safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Analyzing Threat Landscape With Misp use?
Analyzing Threat Landscape With Misp is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Analyzing Threat Landscape With Misp use?
About 597 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 437 tokens, read only when the agent opens those files.
What are the alternatives to Analyzing Threat Landscape With Misp?
Skills that share tags, products or a category with Analyzing Threat Landscape With Misp: Constant Time Testing (trailofbits/skills, 7.5k stars), ShadowBroker Intelligence Client (BigBodyCobain/Shadowbroker, 11k stars), X Twitter Scraper (hoodini/ai-agents-skills, 282 stars) and Sandbox Bench (vercel/next.js, 143k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Analyzing Threat Landscape With Misp?
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.
Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.