🔎 Evidence browser

Search the skill radar

Search by skill, publisher, category, or trust summary — then use the runtime filters to find cards with live test evidence. The two main lanes are baseline safety checks first and deeper follow-on functionality checks after that.

Security GitHub Weather Trusted only Higher-confidence picks Lower-friction local candidates Review-first installs Sandbox-tested Fresh runtime Stale runtime Hall of Shame Stronger evidence imports Needs review Clear filters

All categories awesome-index · 5367 catalog-only · 5367 coding-agents-and-ides · 1200 web-and-frontend-development · 924 devops-and-cloud · 392 search-and-research · 352 browser-and-automation · 320 productivity-and-tasks · 204 ai-and-llms · 184 cli-utilities · 180

✨ Quick picks

🏷 Categories

🧾 Evidence level: source-scanned means local source evidence; catalog-only means thinner metadata-first coverage.

🧪 Runtime status: cards can show only the baseline safety lane or the deeper follow-on functionality lane, depending on how far the skill got.

📏 Depth cue: tells you whether the evidence stops at baseline checks, includes follow-on functionality checks, or includes richer fixture/example proof.

⏱ Freshness cue: tells you whether the latest runtime evidence is from the last 24 hours, the last 7 days, or is older and therefore less current.

🩺 Failure confidence: distinguishes a first seen failure from a repeated failure or a regression after an earlier pass, so not every red row means the same thing.

Results

Showing 3 of 3 results for “tracking” · runtime: tested · freshness: fresh · sort: relevance

page evidence snapshotruntime-passed: 2 runtime-failed: 1 source-scanned: 3 fresh <24h: 3 manual review: 0

This snapshot is for the current page of results, not the whole filtered universe.

Browse hint: slices with zero failures plus some source-scanned or reviewed entries deserve more attention first; fresh runtime evidence helps too, because old clean receipts can still hide current drift.

stock-analysis

udiedrichsen · vsource-scanned

overall

Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management, watchlists with alerts, dividend analysis, 8-dimension stock scoring, viral trend detection (Hot Scanner), and rumor/early signal detection. Use for stock analysis, portfolio tracking, earnings reactions, crypto monitoring, trending stocks, or finding rumors before they hit mainstream.

High Riskfollow-on functionality checks failed · 6/7confidence: source evidence

+ 2 more

Runtime receipts + what failed2026-03-15 13:15 UTC

functionality-v2evidence depth: follow-on functionality checkstested recently: within 24 hoursfirst failed run seen for this lanepassed, runtime_failedoutput 99 Bartifacts 0worker oc-sandboxsource stage: cache hitsuite 3097 msbaseline-v3 8/8

🕵️ expected proof signal was missing🚫 skill exited with an error

RatioDaemon muttered: stock-analysis made it to runtime and then fell apart on contact, which is not ideal for a skill asking to be trusted.6/7 functionality-v2 checks passed before the stumble. The python help is the part that made this interesting.

Observed: skill-structure-ok

Take: Potentially suspicious implementation signals detected: password.

Decision cue: Review first — functionality-v2 already found trouble.

token-optimizer-qsmtco

qsmtco · vsource-scanned

overall

Reduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and multi-provider fallbacks. Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. Includes ready-to-use scripts for task classification, usage monitoring, and optimized heartbeat scheduling. All operations are local file analysis only - no network requests, no code execution. See SECURITY.md for details.

High Riskfollow-on functionality checks passed · 6/6confidence: source evidence

+ 2 more

Runtime receipts + what passed2026-03-15 10:00 UTC

functionality-v2evidence depth: follow-on functionality checkstested recently: within 24 hourspassedoutput 99 Bartifacts 0worker oc-sandboxsource stage: cache hitsuite 2036 msbaseline-v3 8/8

RatioDaemon on this skillToken Optimizer Qsmtco sits in the token optimizer qsmtco lane. Functionality-v2 currently passes, the trust label is High Risk, and setup looks advanced.

Observed: skill-structure-ok

Take: Potentially suspicious implementation signals detected: eval(, rm -rf.

Decision cue: Proceed carefully — suspicious signals matter more than capability surface alone.

ai-persona-os

jeffjhunter · vsource-scanned

overall

The complete operating system for OpenClaw agents. Now with 13 Iconic Character souls (Thanos, Deadpool, JARVIS, Mary Poppins, Darth Vader, and more), SOUL.md Maker (deep SOUL.md builder interview), 11 original personality souls, soul blending, and the full soul gallery. Plus: zero-terminal agent-driven setup, quick-start persona presets, in-chat commands, ambient context monitoring, enforced heartbeat protocol (model + version display), traffic-light status indicators, auto-migration, auto-pruning, config validator, version tracking, structured escalation protocol, context protection, security inoculation, shared-channel discipline, team integration, proactive patterns, never-forget protocol, 8 operating rules, and 4 growth loops. One install. Complete system. Built by Jeff J Hunter.

High Riskfollow-on functionality checks passed · 6/6confidence: source evidence

+ 2 more

Runtime receipts + what passed2026-03-15 21:00 UTC

functionality-v2evidence depth: follow-on functionality checkstested recently: within 24 hourspassedoutput 98 Bartifacts 0worker oc-sandboxsource stage: cache hitsuite 1976 msbaseline-v3 8/8

RatioDaemon muttered: ai-persona-os behaved itself under runtime pressure.6/6 functionality-v2 checks passed. Pleasantly boring.

Observed: skill-structure-ok

Take: Potentially suspicious implementation signals detected: eval(, password.

Decision cue: Proceed carefully — suspicious signals matter more than capability surface alone.