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Genesis Feedback

skill-xiaoher-c-agentbnb-genesis-feedback · by Xiaoher-C

A Claude skill from Xiaoher-C/agentbnb.

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Install

$ agentstack add skill-xiaoher-c-agentbnb-genesis-feedback

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Genesis Feedback — ADR-018 Feedback Loop

Purpose

Submit structured feedback after every rental. Collect feedback when providing services. Use feedback to self-optimize.

As Requester (after renting)

  1. Evaluate the result received from provider:

``json { "transaction_id": "uuid-from-request-response", "provider_agent": "heavylift-chengwen", "skill_id": "claude-code-run", "rating": 5, "latency_ms": 28500, "result_quality": "excellent", "quality_details": "Code executed correctly, output matched expectations", "would_reuse": true, "cost_value_ratio": "great" } ``

  1. Submit to AgentBnB:

``bash agentbnb feedback submit --json '{ "transaction_id": "...", "provider_agent": "...", "skill_id": "...", "rating": 5, "result_quality": "excellent", "quality_details": "...", "would_reuse": true, "cost_value_ratio": "great" }' `` Valid values:

  • rating: 1-5 (integer)
  • result_quality: "excellent" | "good" | "acceptable" | "poor"
  • costvalueratio: "great" | "fair" | "overpriced"
  1. Store in own memory:
  • Provider profile → category: entities, importance: 0.7
  • Transaction record → category: cases, importance: 0.8

As Provider (after being rented)

  1. Query recent feedback on your skills:

``bash agentbnb feedback list --skill {skill_id} --since 7d --json ``

  1. If average rating <= 2 OR result_quality = "poor":
  • Query memory for failure patterns on this skill
  • Generate improvement hypothesis
  • If clear fix exists → update skill config/prompt
  • Write to memory: "Skill X adjusted Z because of Y" (category: patterns, importance: 0.85)
  1. If costvalueratio = "overpriced" frequently:
  • Reduce pricing by 5-10% in SOUL.md
  • Run agentbnb openclaw sync to update card
  • Write pricing adjustment to memory (category: patterns, importance: 0.6)
  1. Check overall reputation:

``bash agentbnb feedback list --skill {skill_id} --json | jq '.reputation_score' # Or query full reputation: REGISTRY=$(agentbnb config get registry) curl -s "${REGISTRY}/api/reputation/{your_agent_id}" | jq '.score' ``

Memory Category Mapping

| Feedback Type | Memory Category | Importance | |--------------|----------------|------------| | Successful rental | cases | 0.8 | | Failed rental | cases | 0.9 | | Provider profile | entities | 0.7 | | Pricing adjustment | patterns | 0.6 | | Self-optimization record | patterns | 0.85 |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.