analyzing-threat-landscape-with-misp 100/100

Is analyzing-threat-landscape-with-misp safe to install?

SaferSkills independently audited analyzing-threat-landscape-with-misp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

analyzing-threat-landscape-with-misp/SKILL.md · 1 file

analyzing-threat-landscape-with-misp/SKILL.md1.4 KB · Markdown

name: analyzing-threat-landscape-with-misp

description: >-

Analyze the threat landscape using MISP (Malware Information Sharing Platform)

by querying event statistics, attribute distributions, threat actor galaxy

clusters, and tag trends over time. Uses PyMISP to pull event data, compute

IOC type breakdowns, identify top threat actors and malware families, and

generate threat landscape reports with temporal trends.

domain: cybersecurity

subdomain: threat-intelligence

tags: [analyzing, threat, landscape, with]

version: "1.0"

author: mahipal

license: Apache-2.0

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.json

Examples

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)

analyzing-threat-landscape-with-misp— agent skill

Is analyzing-threat-landscape-with-misp safe to install?

Instructions

Examples

Threat Landscape Summary

Audit the pieces. Scan the whole. Decide.