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OpenClaw skill trust index
πŸ§ͺ runtime dashboard live
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contrario

contrario publishes 7 tracked skills in DriftBot.

Catalog decision: Mixed but usable publisher: there is meaningful evidence here, but reputation still needs to be earned skill by skill.
7
indexed skills
42
average score
0
manual reviews
0
high-risk labels
catalog evidence snapshotno baseline-v3 receipts yetno functionality-v2 receipts yetno manual reviews yetno high-risk labels
Read this row as a catalog snapshot: runtime coverage, deeper follow-on coverage, human review presence, and high-risk concentration before you compare individual skills.

πŸ“Š Runtime quality summary

Runtime read: stronger publisher evidence means more than broad coverage β€” look for low current failure pressure, some functionality depth, and stale-runtime counts that stay under control.
eligible runtime skills: 7latest touch: n/ano current regressions
Baseline coverage
00% of eligible skills have baseline-v3 receipts
Baseline pass rate
0%0 passed Β· 0 currently failing
Functionality coverage
00% of baseline-cleared skills have functionality-v2
Fixture-backed rate
0%0 functionality-v2 rows have richer fixture/example proof
Stale baseline rows
0baseline receipts older than 7 days
Functionality failures
0current failed functionality-v2 rows in the latest publisher state

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.

Fresh runtime sliceStale runtime slice

No runtime receipts for this publisher yet.

Skills from this publisher

Showing 7 of 7 skills

Label mix on this page

Trusted: 0Use Caution: 4Insufficient Evidence: 3High Risk: 0

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: 7 source-scanned, 0 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.

aetherlang-karpathy-skill

contrario Β· vsource-scanned
50
overall

Execute advanced AI agent workflows via the AetherLang Omega API β€” 10 Karpathy node types including self-programming plans, sandboxed code execution, critique loops, intelligent routing, multi-agent ensemble, persistent memory, external API tools, iterative loops, data transforms, and parallel execution. Use when the user wants to run agent pipelines, multi-agent synthesis, batch processing, live API data analysis, or any autonomous AI workflow through AetherLang.

Insufficient Evidenceconfidence: source evidencesource-scanned
+ 1 more
privileged capability
Take: Source-aware scan found normal operational surface via environment, network, or shell-related references.
Decision cue: Decent evidence base β€” source-level signals are available, so inspect the receipts.

aetherlang-strategy

contrario Β· vsource-scanned
50
overall

Nobel-level strategic business intelligence with game theory, Monte Carlo simulations, market analysis, and implementation roadmaps.

Insufficient Evidenceconfidence: source evidencesource-scanned
+ 1 more
privileged capability
Take: Source-aware scan found normal operational surface via environment, network, or shell-related references.
Decision cue: Decent evidence base β€” source-level signals are available, so inspect the receipts.

aetherlang-claude-code

contrario Β· vsource-scanned
49
overall

Execute AetherLang V3 AI workflows from Claude Code using nine specialized engines for culinary, business, research, marketing, and strategic analyses.

Insufficient Evidenceconfidence: source evidencesource-scanned
+ 1 more
privileged capability
Take: Source-aware scan found normal operational surface via environment, network, or shell-related references.
Decision cue: Decent evidence base β€” source-level signals are available, so inspect the receipts.

masterswarm

contrario Β· vsource-scanned
40
overall

Analyze any document with 15 parallel AI engines via the MasterSwarm cloud API. Upload receipts, contracts, lab results, or ask business/crypto/legal questions β€” get professional intelligence reports. Requires a paid MasterSwarm API key purchased from masterswarm.net.

Use Cautionconfidence: source evidencesource-scanned
+ 1 more
privileged capability
Take: Source-aware scan found higher-privilege capability areas (trading, telegram, email), but that alone is not evidence of malicious behavior.
Decision cue: Decent evidence base β€” source-level signals are available, so inspect the receipts.

aetherlang-chef

contrario Β· vsource-scanned
37
overall

Michelin-grade AI culinary intelligence. 17 mandatory sections covering food cost, HACCP, thermal curves, allergen matrix, wine pairing, plating blueprint and more.

Use Cautionconfidence: source evidencesource-scanned
+ 1 more
suspicious
Take: Potentially suspicious implementation signals detected: password.
Decision cue: Proceed carefully β€” suspicious signals matter more than capability surface alone.

aetherlang

contrario Β· vsource-scanned
35
overall

Execute AI workflow orchestration flows using the AetherLang Ξ© DSL. Run multi-step AI pipelines for recipes, business strategy, market analysis, molecular gastronomy, and more.

Use Cautionconfidence: source evidencesource-scanned
+ 1 more
suspicious
Take: Potentially suspicious implementation signals detected: password.
Decision cue: Proceed carefully β€” suspicious signals matter more than capability surface alone.

skills-2

contrario Β· vsource-scanned
35
overall

Execute AI workflow orchestration flows using the AetherLang Ξ© DSL. Run multi-step AI pipelines for recipes, business strategy, market analysis, molecular gastronomy, and more.

Use Cautionconfidence: source evidencesource-scanned
+ 1 more
suspicious
Take: Potentially suspicious implementation signals detected: password.
Decision cue: Proceed carefully β€” suspicious signals matter more than capability surface alone.
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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 publisher’s catalog, then inspect the raw findings on individual skill pages.

Back to the full index