| name | er |
| title | AI4L - Main Skill for Evidence Review Creation and Auditing using @AGENTS |
| description | AI4L - Main Skill for Evidence Review Creation and Auditing using @AGENTS |
| author | forever-healthy |
| author_url | https://github.com/forever-healthy/AI4L/tree/main/.claude/skills/er |
| license | MIT |
| version | 0.1.0 |
| execution_mode | open |
| jurisdiction | general |
| practice | litigation |
| language | en |
AI4L - Main Skill for Evidence Review Creation and Auditing using @AGENTS
General Rules
-
Parse the user's input to determine which sub-command to execute
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Set [args] to $ARGUMENTS
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Note the [start_time] when beginning any command, and report the [time_taken] when done
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All generated results go in [creation_dir] as .md files
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Do not edit or modify any files outside [creation_dir]
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Full lines formatted as line comments must be ignored when processing commands.
COMMAND: create {topic}
Create an evidence review (ER) using the @er-creator agent.
COMMAND: audit {er}
Audit an ER using the @er-auditor agent.
-
If no [args] are given {
- Set [target_er] to the newest ER in [creation_dir]
} else {
- Set [target_er] to [args]
}
-
Report: audit: [target_er]
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@er-auditor: [target_er]
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Wait until the agent finishes and returns the result
-
Report: target_er: [target_er]
-
Report: pass_rate: [pass_rate]
COMMAND: fix {er}
Audit and fix an ER using the @er-fixer agent.