ankitclassicvision/ankit_shared_skills/agenttwin
Claude Code and agent skill by ankitclassicvision/ankit_shared_skills
- community
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/agenttwinSKILL.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:
- 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
- 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
- SKILL.md in the repositoryCheckingagenttwin/SKILL.md
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
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