wolf-scripts-agents

Agent coordination, orchestration, and multi-agent workflow management scripts

Install with Tessl CLI

npx tessl i github:majiayu000/claude-skill-registry-data --skill wolf-scripts-agents

What are skills?

Review — 42%

Does it follow best practices?

If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:

npx tessl skill review --optimize ./path/to/skill

Learn more

Validation — 9 / 11 Passed

Validation for skill structure

SKILL.md

Review

Evals

Evaluation results

100%

22%

Build an Automated AI Agent Runner Module

Agent executor pattern

Criteria

Without context

With context

AgentExecutor class

100%

Multi-backend support

87%

100%

Timeout configuration

100%

Output capture flag

100%

promptFile parameter

100%

cwd parameter

100%

Structured signal parsing

50%

100%

Request ID field

100%

stdout and stderr capture

100%

Exit code in result

100%

Timeout flag in result

100%

Execution time in result

100%

Without context: $0.4342 · 1m 59s · 19 turns · 26 in / 7,453 out tokens

With context: $0.5337 · 1m 59s · 17 turns · 273 in / 7,566 out tokens

92%

37%

Automate a Multi-Stage CI Failure Recovery Pipeline

Multi-phase workflow orchestration

Criteria

Without context

With context

Orchestrator class

100%

ci-failure-recovery workflow defined

50%

100%

Phases as array with agent+action

25%

100%

Sequential phase execution

100%

State saved after each phase

100%

Phase logging

75%

100%

DRY_RUN support

100%

Resume capability

62%

100%

Handoff signal read

100%

CLI arguments

100%

Lens integration

State shape completeness

33%

100%

Without context: $0.4029 · 1m 43s · 21 turns · 22 in / 6,712 out tokens

With context: $0.6295 · 2m 2s · 22 turns · 460 in / 8,450 out tokens

100%

28%

Enforce File Permission Boundaries for AI Agents in CI

Agent scope validation

Criteria

Without context

With context

ROLE_FILE_PATTERNS structure

90%

100%

minimatch used for matching

100%

No broad wildcards

62%

100%

validateAgentChanges function

62%

100%

Unknown role error

100%

Structured result

62%

100%

Violation detail

100%

coder-agent patterns correctness

100%

pm-agent patterns correctness

100%

--no-fail mode

100%

CI integration example

100%

description per role

100%

Without context: $0.4641 · 1m 50s · 23 turns · 28 in / 7,442 out tokens

With context: $1.0285 · 3m 1s · 41 turns · 298 in / 10,479 out tokens

Evaluated: about 24 hours ago
Agent: Claude Code

Table of Contents

Build an Automated AI Agent Runner Module Automate a Multi-Stage CI Failure Recovery Pipeline Enforce File Permission Boundaries for AI Agents in CI

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.