ankitclassicvision/ankit_shared_skills/agenttwin

Claude Code and agent skill by ankitclassicvision/ankit_shared_skills

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Checking that the SKILL.md file is still in the repository.

Diagnose, score, map, visualize, or accept an AI agent or workflow using a public closed-loop readiness report. Use for agent specs, automation workflows, vendor proposals, and agentic builds.

Install

npx vskill@latest install ankitclassicvision/ankit_shared_skills/agenttwin

SKILL.md

AgentTwin, public version

AgentTwin is a lightweight diagnostic instrument for AI agent workflows. It produces a plain-English wellness report plus an operator-grade process map.

This public copy intentionally omits private rubrics, private examples, internal customer references, and organization-specific capture rules.

When to use

Use when the user is doing any of these on an AI agent, automation, or agentic workflow:

  • Designing a new agent or automation
  • Evaluating an existing agent or vendor proposal
  • Modifying prompts, models, gates, or workflow components
  • Diagnosing drift, hallucination, cost spike, missed escalation, or silent failure
  • Accepting a build as ready for broader use
  • Onboarding an engineer or operator to an agentic workflow

Do not use for generic AI questions, personal drafting, or pure code bugs unrelated to agent/workflow behavior.

Report shape

Produce a self-contained markdown or HTML report with two views:

  1. Summary view
  • Overall grade: A, B, C, D, or F
  • Five property cards in plain English:
  • Stays in lane
  • Checks facts
  • Checks before doing
  • Nothing is hidden
  • Has a stop button
  • Current vs ideal flow
  • Three-item action plan
  1. Process map view
  • Nodes with runtime type, owner, input, output, status, and failure mode
  • Edges with trigger, contract, latency expectation, retry behavior, and audit trail
  • Cross-cutting state, memory, observability, and override model
  • Ranked recommendations by severity

Five closed-loop properties

  • Bounded: the workflow has a clear box, allowed actions, refused actions, and stop condition.
  • Grounded: important claims and decisions cite source evidence that can be rechecked.
  • Gated: risky writes, sends, labels, money movement, compliance actions, and human-impacting outputs require approval or deterministic checks.
  • Observed: runs leave useful traces, metrics, alerts, and replayable proof.
  • Governed: an owner can pause, override, audit, improve, and retire the workflow.

Grading

  • A: all five properties healthy.
  • B: four healthy, one needs work, no broken property.
  • C: at least one broken property or two needs-work properties.
  • D: two or more broken properties.
  • F: three or more broken properties, or any workflow can perform high-impact writes with no gate and no audit.

When uncertain between adjacent grades, downgrade.

Verification before delivery

Before delivering the report:

  • Confirm the workflow boundary and topology are explicit.
  • Mark unknowns rather than inventing facts.
  • Scan the report for raw emails, phones, tokens, credentials, message bodies, raw rows, or unnecessary personal data.
  • State whether any external side effects were performed. Default should be none.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
11
7-day trend score
0

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

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