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Netflix-Skunkworks
GitHub 创作者资料

Netflix-Skunkworks

按仓库查看 2 个 GitHub 仓库中的 11 个已收集 skills。

已收集 skills
11
仓库
2
更新
2026-05-28
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按已收集 skill 数展示主要仓库,并显示它们在该创作者目录中的占比和职业覆盖。

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仓库与代表性 skills

railguard-benchmark
信息安全分析师

Store security scan findings to SQLite and compare against answer sheets or other scan runs. Use when asked to "store findings", "save scan results", "compare against answer sheet", "benchmark scan", "compare scan runs", "how did the scan perform", "evaluate scan accuracy", "check recall", "show dashboard", "benchmark dashboard", "benchmark trends", or "leaderboard".

2026-03-05
railguard-db-updates-orchestrated-scan
信息安全分析师

Multi-phase security scanner using 12 parallel specialized subagents with SQLite progress tracking. Findings persist to DB for compaction resilience. Best for large repos. Use when asked to "db-tracked scan", "resilient scan", or "large repo security scan".

2026-03-05
railguard-securityagentsonly-scan
信息安全分析师

Security-agents-only scanner using all 12 parallel specialized subagents without discovery, data flow tracing, false positive analysis, or triage. Use when asked to "agents-only scan", "raw agents scan", "no-FP scan", or "security agents only scan".

2026-03-05
railguard-superagent-scan
信息安全分析师

Multi-phase security scanner using a single SuperAgent that loads all 12 rule files and covers all vulnerability domains in one pass. Lower cost alternative to the orchestrated scan. Use when asked to "superagent scan", "monoprompt scan", or "cheap security scan".

2026-03-05
railguard-unified-scan
信息安全分析师

Multi-phase security scanner combining file-handoff parallel FP batching with SQLite progress tracking. Phase 3 agents write findings to /tmp files and return lean stubs. merge-findings.py batches findings for parallel Phase 4 FP agents. scan-progress.py tracks phase lifecycle, agent dispatch/skip/result, and enables crash recovery. Best of both orchestrated-scan and db-updates architectures. Use when asked to "unified scan", "tracked scan", or "resilient security scan". Supports Python, JavaScript, TypeScript, Java, Go, Ruby, and PHP.

2026-03-05
railguard-vulncategory-scan
信息安全分析师

Single-agent security scanner that groups vulnerabilities into 4 category sweeps (Injection, Access Control, Logic, and Network/CORS). Each sweep is gated by architecture detection. No subagent dispatch -- all analysis runs in one context window with sequential passes. Use when asked to "vulncategory scan", "category scan", "monolithic security scan", or "single-agent security scan". Supports Python, JavaScript, TypeScript, Java, Go, Ruby, and PHP.

2026-03-05
changing-notebooks
软件开发工程师

Invoke this skill when making any modification to a notebook (.ipynb) in the OCI agent. Keywords: - .ipynb, Jupyter notebook - cell injection, comment-out cell - "# === INJECTED BY OCI AGENT === #" - "# === COMMENTED OUT BY OCI AGENT === #" - econml.ipynb, notebooks/ directory - parameterizing notebooks

2026-05-28
running-notebooks
软件开发工程师

Invoke this skill before executing any OCI analysis (notebook run). Keywords: - nb_runner.py, notebook execution - analysis spec, spec parameter injection - results.json, results serialization cell - .ipynb, notebooks/ directory - papermill-style parameterization

2026-05-28
suggesting-remedies
软件开发工程师

Invoke this skill when an OCI diagnostic fails or warns and a spec change is needed. Keywords: - covariate balance failure, overlap warning, placebo warning - ATO_THRESHOLD, trimming extreme propensities - changing estimand: ATE → ATT, ATE → ATO - adding covariates, dataset insufficiency - actor-critic feedback loop, suggested spec changes

2026-05-28
writing-reports
软件开发工程师

Invoke this skill when writing oci-report.md from an executed OCI analysis. Keywords: - oci-report.md, actor-critic report - results.json, analysis spec, analysis plan - diagnostics: covariate balance, overlap, placebo outcome - SMD, P1 confounders, propensity scores - ATE, ATT, ATO estimands - decision-grade results, diagnostic table

2026-05-28
writing-specs
软件开发工程师

Invoke this skill when initiating an OCI analysis from a plan or user prompt — i.e. before any notebook is parameterized or executed. Keywords: - analysis spec, eval spec, spec.yaml - treatment, outcome, covariates, confounders - ATE, ATT, ATO, ato_threshold - econml.ipynb, analysis_notebook - ACIC, acic_treatment, acic_response

2026-05-28
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