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Evidence-to-Skill – a gate between untrusted sources and agent skills

Evidence-to-Skill – a gate between untrusted sources and agent skills is a skill AI agent for To ensure AI agents only act on information from untrusted sources after it has been validated. Pricing: $0 (open source) + optional enterprise support. As of 2026-09-20, KanonAgent records 4 upvotes. First indexed by KanonAgent on 2026-08-01.
Evidence-to-Skill acts as a trust filter that verifies unreliable online information before allowing AI agents to execute actions based on it.
Evidence-to-Skill – a gate between untrusted sources and agent skills — official preview image
4 upvotes
Tracked by Kanon since Aug 1, 2026
no signal yet
status
16/100
momentum · conf 0.53
28d
tracked since 2026-08-22
5
evidence records

No signal event on file yet — status is unknown, not "quiet".

📈 Timelinewhat changed, and when
🔎 Known / Unknown 14 of 23 fields unknown
Machine-callable— unknown —
Open source1 inferred 1 quote(s)
Self-hostable— unknown —
Bring your own key— unknown —
Autonomy level— unknown —
Pricing model— unknown —
Integrationsclaude-code inferred 1 quote(s)

“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.

🤖 Agent teardown · skill
Job to be doneTo ensure AI agents only act on information from untrusted sources after it has been validated.
Who it is forAI developers and teams building autonomous agents that rely on real-time web data.
Prerequisitesopen source
Integrationsclaude-code
Pricing$0 (open source) + optional enterprise support
Traction · why it is risingGrowing adoption in open-source agent frameworks due to its role in reducing hallucination risks during tool use.
Why it matters

It addresses a critical reliability gap in AI agents by enforcing evidence-based action execution, making it essential for trustworthy automation.

Evidence quotesverbatim, from the product’s own materials

“public GitHub repository (README fetched)”— structural
“untrusted sources ↓ quarantine evidence ledger ↓ validation promotion gate ↓ minimal skill + attribution + audit report”— readme
“claude-code,knowledge-extraction,prompt-injection,trust-boundary”— topics
“Review the skill directory before copying it into an agent's skill folder.”— readme
“skills/evidence-to-skill/”— readme
Signal source: Show HN
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FAQ

What is Evidence-to-Skill?

Evidence-to-Skill acts as a trust filter that verifies unreliable online information before allowing AI agents to execute actions based on it.

What does Evidence-to-Skill do?

To ensure AI agents only act on information from untrusted sources after it has been validated.

Why does Evidence-to-Skill matter?

It addresses a critical reliability gap in AI agents by enforcing evidence-based action execution, making it essential for trustworthy automation.

How much does Evidence-to-Skill cost?

$0 (open source) + optional enterprise support

Is Evidence-to-Skill open source?

Yes — Evidence-to-Skill is open source.

What does Evidence-to-Skill integrate with?

claude-code

How popular is Evidence-to-Skill?

As tracked by KanonAgent: 4 upvotes (first indexed 2026-08-01).

What are the best Evidence-to-Skill alternatives?

Similar AI agents tracked by KanonAgent: open-design, deer-flow, ruflo, career-ops, archify, cherry-studio.

Evidence-to-Skill – a gate between untrusted sources and agent skills alternatives — similar AI agents

open-designdeer-flowruflocareer-opsarchifycherry-studio

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