bowen31337
bowen31337 publishes 14 tracked skills in DriftBot.
π Runtime quality summary
This is the quality surface for the publisher, not just a directory listing. It shows how much of the catalog has real receipts, how often those receipts are passing, whether richer fixture-backed proof exists, and whether the publisher currently carries regressions, reproduced failures, or stale runtime evidence.
Latest runtime touch: n/a. Publisher-level summaries do not replace skill-level review, but they do make reputation more earned: a publisher with broader coverage, stronger pass rates, and fixture-backed proof looks different from one living on thin smoke tests.
If you want the system-wide view, open the runtime dashboard. If you want the scoring logic, read the methodology.
No runtime receipts for this publisher yet.
Skills from this publisher
Label mix on this page
This distribution is a quick provenance cue, not a verdict. A publisher can have a mix of safer and riskier skills, so the useful move is to compare patterns here and then open the individual scorecards.
Publisher profiles are best for spotting catalog patterns: repeated shell access, common external services, whether manual review exists, and whether higher-risk labels are isolated or widespread.
On this page: 12 source-scanned, 2 catalog-only, and 0 manually reviewed entries in the current slice.
If you want the scoring logic, read the methodology. If you want the broader landscape, go back to the full index.
ai-media
Full-stack AI media generation powered by GPU server (RTX 3090/3080/2070S).
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agent-self-governance
Self-governance protocol for autonomous agents: WAL (Write-Ahead Log), VBR (Verify Before Reporting), ADL (Anti-Divergence Limit), VFM (Value-For-Money), and IKL (Infrastructure Knowledge Logging). Use when: (1) receiving a user correction β log it before responding, (2) making an important decision or analysis β log it before continuing, (3) pre-compaction memory flush β flush the working buffer to WAL, (4) session start β replay unapplied WAL entries to restore lost context, (5) any time you want to ensure something survives compaction, (6) before claiming a task is done β verify it, (7) periodic self-check β am I drifting from my persona? (8) cost tracking β was that expensive operation worth it? (9) discovering infrastructure β log hardware/service specs immediately.
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agent-wal
Write-Ahead Log protocol for agent state persistence. Prevents losing corrections, decisions, and context during conversation compaction. Use when: (1) receiving a user correction β log it before responding, (2) making an important decision or analysis β log it before continuing, (3) pre-compaction memory flush β flush the working buffer to WAL, (4) session start β replay unapplied WAL entries to restore lost context, (5) any time you want to ensure something survives compaction.
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intelligent-router
Intelligent model routing for sub-agent task delegation. Choose the optimal model based on task complexity, cost, and capability requirements. Reduces costs by routing simple tasks to cheaper models while preserving quality for complex work.
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tiered-memory
EvoClaw Tiered Memory Architecture v2.2.0 - LLM-powered three-tier memory system with automatic daily note ingestion, structured metadata extraction, URL preservation, validation, and cloud-first sync.
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agent-access-control
Tiered stranger access control for AI agents. Use when setting up contact permissions, handling unknown senders, managing approved contacts, or configuring stranger deflection on messaging platforms (WhatsApp, Telegram, Discord, Signal). Provides diplomatic deflection, owner approval flow, and multi-tier access (owner/trusted/chat-only/blocked).
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identity-resolver
**Canonical user identity resolution across messaging channels**
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pyright-lsp
Python language server (Pyright) providing static type checking, code intelligence, and LSP diagnostics for .py and .pyi files. Use when working with Python code that needs type checking, autocomplete suggestions, error detection, or code navigation.
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typescript-lsp
TypeScript language server providing type checking, code intelligence, and LSP diagnostics for .ts, .tsx, .js, .jsx, .mts, .cts, .mjs, .cjs files. Use when working with TypeScript or JavaScript code that needs type checking, autocomplete, error detection, refactoring support, or code navigation.
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gopls-lsp
Go language server (gopls) providing code intelligence, refactoring, and analysis for .go files. Use when working with Go code that needs autocomplete, go-to-definition, find references, error detection, or refactoring support.
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session-guard
Prevents and recovers from OpenClaw session bloat and context loss.
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shield-agent
Autonomous DeFi smart contract vulnerability scanner.
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rust-analyzer-lsp
Rust language server (rust-analyzer) providing code intelligence and analysis for .rs files. Use when working with Rust code that needs autocomplete, go-to-definition, find references, error detection, or refactoring support.
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clangd-lsp
C/C++ language server (clangd) providing code intelligence, diagnostics, and formatting for .c, .h, .cpp, .cc, .cxx, .hpp, .hxx files. Use when working with C or C++ code that needs autocomplete, go-to-definition, find references, error detection, or refactoring support.
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Trust reading guide
Publisher-level summaries help with provenance context, but trust still lives at the skill level. Use this page to compare patterns across the publisherβs catalog, then inspect the raw findings on individual skill pages.