Commit Graph
6 Commits
Author SHA1 Message Date
Mahipal 2fb6a9faff Rewrite 548 skill descriptions to the activation rubric
Each rewritten description now states both what the skill does (concrete
capability, named tools/artifacts) and an explicit when-to-use trigger,
improving agent discovery/activation. Grounded in each skill's own body;
changes confined to the `description` field only (bodies and all other
frontmatter untouched). Produced by a gated audit->rewrite->recheck loop
(548 -> 0 flagged) with a sampled anti-invention check (0 ungrounded).

Schema: 817/817 pass. Framework-ID gate: 0 defects.
2026-08-02 09:32:13 -07:00
mukul975 cb8d79e068 Map all 754 skills to MITRE ATT&CK v19.1
- Add validated mitre_attack frontmatter to all 754 skills (286 distinct
  techniques), verified against MITRE ATT&CK v19.1 via the official
  mitreattack-python library: 0 revoked, deprecated, or invalid IDs
- Curate precise per-skill technique IDs for forensics, malware-analysis,
  threat-intel, and red-team skills (e.g. DCSync -> T1003.006,
  Kerberoasting -> T1558.003, Pass-the-Ticket -> T1550.003)
- Reconcile v19.1 tactic restructuring: Defense Evasion split into
  Stealth (TA0005) and Defense Impairment (TA0112); revoked T1562.*
  family and T1070.001/.002 remapped to active equivalents (T1685.*)
- Normalize word-split tags across 35 skills (remove filename-derived
  stopword tags, add semantic cybersecurity tags)
- Add api-reference.md for 3 skills that were missing it
- Update README ATT&CK section with accurate v19.1 tactic distribution
2026-06-01 12:13:29 +02:00
mukul975 efca3ec611 feat: add NIST CSF 2.0 nist_csf field to all 754 cybersecurity skills
Mapped every skill to NIST CSF 2.0 subcategory IDs (GV/ID/PR/DE/RS/RC functions)
based on subdomain and content analysis. Restores 11 skills corrupted during
prior rebase, re-enriching with ATLAS, D3FEND, NIST AI RMF, and CSF 2.0 fields.

All 754 skills now carry structured mappings for all 5 security frameworks:
- MITRE ATT&CK (in tags)
- MITRE ATLAS v5.5 (atlas_techniques)
- MITRE D3FEND v1.3 (d3fend_techniques)
- NIST AI RMF 1.0 (nist_ai_rmf)
- NIST CSF 2.0 (nist_csf)
2026-04-06 11:17:40 +02:00
MAGI a072845a3f Fix review comments: correct AWS Detective API usage and forensic ordering
- Fix FilterCriteria to use singular Severity/Status with Value objects
  instead of invalid plural Severities/Statuses arrays (SKILL.md + process.py)
- Fix get_entity_history: rename to get_investigation_indicators, use
  investigation_id instead of entity_arn for InvestigationId parameter
- Replace invalid inv-* placeholders with 21-digit numeric IDs
- Fix Expected Output to match real API response structure (no embedded
  Indicators; document separate list-indicators call and indicator types)
- Fix CLI --filter-criteria example to use correct format
- Update process.py --severity to accept single value with validation
- Add --max-results validation (1-100 range)
- Add pagination via _collect_all_pages helper for all list API calls
- Reorder Response Actions checklist: evidence preservation before containment
- Reorder Phase 5 workflow: preserve evidence first when safe
2026-03-28 02:06:16 -06:00
MAGI 41b828e758 fix: add missing process.py implementation for aws-detective skill
The process.py script was empty (0 bytes). Added a functional
implementation that lists behavior graphs, retrieves investigations,
queries indicators, and exports results — matching the pattern of
other skills in the repository.
2026-03-28 02:06:16 -06:00
MAGI 2f6701d2d8 Add skill: performing-cloud-native-threat-hunting-with-aws-detective (fixes #6) 2026-03-28 02:06:16 -06:00