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Lixin2026
d5fe2e6a78
* feat(codex): add skill UI metadata * Use official Trail of Bits logo * fix: resolve code review findings for PR #175 Codex silently drops the icons as authored: its loader (codex-rs/core-skills resolve_asset_path) requires icon paths containing '..' to resolve under <plugin_root>/assets/, and the repo-root .codex/assets location fails that containment check. Verified empirically via codex app-server plugin/read: every iconSmall/iconLarge came back null; only brand_color applied. P1 fixed: - Vendor trail-of-bits-mark.svg into plugins/<name>/assets/ for all 38 plugins with skills and point every openai.yaml at ../../assets/trail-of-bits-mark.svg (the supported plugin-level shared asset pattern). Icons now resolve for marketplace installs too, since nothing escapes the plugin root. - Drop the .codex/ additions: .codex/skills/gh-cli/agents/ openai.yaml resolved nowhere (.codex/skills is not a Codex discovery root) and PR #173 removes the whole .codex/ tree P2 fixed: - Patch-bump all 38 touched plugins in plugin.json and marketplace.json so installed clients pick up the metadata Verified: - Static check replicating Codex's resolution algorithm: all 73 yaml files resolve under their plugin assets/ and exist - Live codex app-server probe: 71/72 loadable skills report resolved iconSmall/iconLarge and brand_color #D83A34 (claude-in-chrome-troubleshooting fails to load on main due to a pre-existing 64-char qualified-name limit, fixed by #173's rename; zeroize-audit's manifest mcpServers object is likewise a pre-existing Codex incompatibility fixed by #173) - validate_codex_skills.py, validate_plugin_metadata.py, prek all pass Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(codex): use skill-local icon assets --------- Co-authored-by: Dan Guido <dan@trailofbits.com> Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
debug-buttercup
Debug the Buttercup CRS (Cyber Reasoning System) running on Kubernetes.
Skills
| Skill | Description |
|---|---|
| debug-buttercup | Diagnose pod crashes, restart loops, resource pressure, and service misbehavior for Buttercup Kubernetes deployments |
What It Covers
- Triage workflow: systematic approach starting with pod status, events, and warnings
- Cascade detection: identifying shared-dependency failures (especially Redis) before investigating individual pods
- Redis debugging: AOF issues, queue inspection, consumer group lag, memory diagnostics
- Resource pressure: OOM kills, disk saturation, CPU throttling
- Service-specific patterns: DinD failures, health check staleness, init container blocks
- Diagnostic script: automated snapshot of cluster state, queue depths, and Redis health
Installation
/plugins install debug-buttercup