agentCLAWHUBUnverified

Analysis Missing Tradeoffs

Analysis presents a single option without comparing alternatives or articulating the costs of the chosen approach. Skill: Analysis Missing Tradeoffs Owner: mvogt99 Summary: Analysis presents a single option without comparing alternatives or articulating the costs of the chosen approach. Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-25T18:14:31.514Z | auto Initial release: Introduces best practices for making tradeoffs explicit in analysis. - Highlights pitfalls of presenting only a single option. - Lists common symptoms of

OpenClaw

Rank

62

Safety

84

Downloads

1.0k

Updated

Oct 11, 2026

Version

1.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 11, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 11, 2026
Adoption signal
1K downloadsadoption · observed Oct 11, 2026
Latest release
1.0.0release · observed Apr 25, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s1795cpfvhkpcq4k9a8xmpepw585gbjp:analysis-missing-tradeoffs
  1. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-mvogt99-analysis-missing-tradeoffs/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

3,995 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: analysis-missing-tradeoffs
description: Analysis presents a single option without comparing alternatives or articulating the costs of the chosen approach.
emoji: ⚖️
metadata:
  clawdis:
    os: [macos, linux, windows]
---

# analysis-missing-tradeoffs

An analysis that skips comparison reads as advocacy, not analysis. The reader can't tell whether you considered and rejected alternatives or simply didn't see them, so they can't trust the recommendation.

## Symptoms

- Analysis proposes one approach and frames it as obviously correct.
- Costs and limitations of the chosen approach are not discussed.
- No mention of alternatives that a knowledgeable reader would have considered.
- Conclusion reads "we should do X" with no "rather than Y because Z".

## What to do

- Enumerate at least two viable options. If only one is viable, say why the others were eliminated.
- For each option, list what you gain and what you give up. Costs include complexity, risk, cost of reversal, team unfamiliarity — not just performance numbers.
- State the decision criteria up front: what matters most here (latency? cost? time to ship? blast radius?). Apply the criteria consistently across options.
- Show your work. The reader should be able to change one assumption and see which option wins.
- When the right answer is genuinely obvious, still name the alternatives and dismiss them briefly. Obvious-to-you is not obvious-to-everyone.

_meta.json

{
  "ownerId": "kn7bppj9y9z6v1brn70jb5q8hn85gs8h",
  "slug": "analysis-missing-tradeoffs",
  "version": "1.0.0",
  "publishedAt": 1777140871514
}

skill-card.md

## Description:

Analysis presents a single option without comparing alternatives or articulating the costs of the chosen approach.

This skill is ready for commercial/non-commercial use.

## Publisher:

[mvogt99](https://clawhub.ai/user/mvogt99)

### License/Terms of Use:

MIT-0

## Use Case:

External users, developers, and teams use this skill to prompt agents to compare viable options, state decision criteria, and explain the costs and benefits behind a recommendation.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill may make agent responses longer by adding alternatives and tradeoffs.

Mitigation: Use it for recommendations or decisions where balanced comparison is valuable, and keep alternative dismissals brief when one option is clearly preferable.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/mvogt99/skills/analysis-missing-tradeoffs)

## Skill Output:

**Output Type(s):** [text, markdown, guidance]

**Output Format:** [Markdown or plain text analysis guidance]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Produces writing and reasoning guidance; no code execution, shell commands, or sensitive data access are indicated by the security evidence.]

## Skill Version(s):

1.0.0 (source: server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
Github ReposUpdated 2d agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW
Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW
Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW
Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular

OPENCLAW

Machine-readable data

The same record, as JSON, for agents and crawlers.

{
  "facts": [
    {
      "factKey": "vendor",
      "category": "vendor",
      "label": "Vendor",
      "value": "Clawhub",
      "href": "https://clawhub.ai/mvogt99/skills/analysis-missing-tradeoffs",
      "sourceUrl": "https://clawhub.ai/mvogt99/skills/analysis-missing-tradeoffs",
      "sourceType": "profile",
      "confidence": "medium",
      "observedAt": "2026-10-11T17:18:03.346Z",
      "isPublic": true
    },
    {
      "factKey": "protocols",
      "category": "compatibility",
      "label": "Protocol compatibility",
      "value": "OpenClaw",
      "href": "https://www.xpersona.co/api/v1/agents/clawhub-mvogt99-analysis-missing-tradeoffs/contract",
      "sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-mvogt99-analysis-missing-tradeoffs/contract",
      "sourceType": "contract",
      "confidence": "medium",
      "observedAt": "2026-10-11T17:18:03.346Z",
      "isPublic": true
    },
    {
      "factKey": "traction",
      "category": "adoption",
      "label": "Adoption signal",
      "value": "1K downloads",
      "href": "https://clawhub.ai/mvogt99/analysis-missing-tradeoffs",
      "sourceUrl": "https://clawhub.ai/mvogt99/analysis-missing-tradeoffs",
      "sourceType": "profile",
      "confidence": "medium",
      "observedAt": "2026-10-11T17:18:03.346Z",
      "isPublic": true
    },
    {
      "factKey": "latest_release",
      "category": "release",
      "label": "Latest release",
      "value": "1.0.0",
      "href": "https://clawhub.ai/mvogt99/analysis-missing-tradeoffs",
      "sourceUrl": "https://clawhub.ai/mvogt99/analysis-missing-tradeoffs",
      "sourceType": "release",
      "confidence": "medium",
      "observedAt": "2026-04-25T18:14:31.514Z",
      "isPublic": true
    },
    {
      "factKey": "handshake_status",
      "category": "security",
      "label": "Handshake status",
      "value": "UNKNOWN",
      "href": "https://www.xpersona.co/api/v1/agents/clawhub-mvogt99-analysis-missing-tradeoffs/trust",
      "sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-mvogt99-analysis-missing-tradeoffs/trust",
      "sourceType": "trust",
      "confidence": "medium",
      "observedAt": null,
      "isPublic": true
    }
  ],
  "events": [
    {
      "eventType": "release",
      "title": "Release 1.0.0",
      "description": "Initial release: Introduces best practices for making tradeoffs explicit in analysis. - Highlights pitfalls of presenting only a single option. - Lists common symptoms of missing tradeoff analysis. - Provides clear steps to enumerate, compare, and justify alternative options. - Emphasizes naming and briefly dismissing alternatives, even when one answer seems obvious.",
      "href": "https://clawhub.ai/mvogt99/analysis-missing-tradeoffs",
      "sourceUrl": "https://clawhub.ai/mvogt99/analysis-missing-tradeoffs",
      "sourceType": "release",
      "confidence": "medium",
      "observedAt": "2026-04-25T18:14:31.514Z",
      "isPublic": true
    }
  ]
}

Record generated Oct 11, 2026.

Sponsored

Ads related to Analysis Missing Tradeoffs and adjacent AI workflows.