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Hermes Pipeline c7d5e2092d Add Skill: conditional-request-review
Extracted from: https://github.com/jwwelbor/AgentMap.git
Score: 1.0
2026-08-08 23:16:19 +00:00
9 changed files with 94 additions and 99 deletions
@@ -0,0 +1,52 @@
---
name: conditional-request-review
version: 1.0.0
description: Capture a user request, classify it via branching, and produce an approval
or rejection result.
inputs:
- request
steps:
- 'Start: input agent prompts user for request and stores it in state field ''request'''
- 'Classify: branching agent evaluates ''request'' and routes to Approve on success
or Reject on failure, storing ''decision'''
- 'Approve: default agent formats approval message using ''request'' and stores it
in ''result'''
- 'Reject: default agent formats rejection message using ''request'' and stores it
in ''result'''
outputs:
- result (string message indicating approval or rejection)
tags: []
metadata:
source_repo: https://github.com/jwwelbor/AgentMap.git
extracted_at: ''
confidence: 0.85
---
# conditional-request-review
Capture a user request, classify it via branching, and produce an approval or rejection result.
## Steps
1. Start: input agent prompts user for request and stores it in state field 'request'
2. Classify: branching agent evaluates 'request' and routes to Approve on success or Reject on failure, storing 'decision'
3. Approve: default agent formats approval message using 'request' and stores it in 'result'
4. Reject: default agent formats rejection message using 'request' and stores it in 'result'
## Inputs
- request
## Outputs
- result (string message indicating approval or rejection)
## Failure Modes
- If branching classification fails, workflow routes to Reject (on_failure)
- If input not provided, workflow may hang or error depending on runtime
## Source
Extracted from: [https://github.com/jwwelbor/AgentMap.git](https://github.com/jwwelbor/AgentMap.git)
Confidence: 0.85
@@ -0,0 +1,6 @@
# Commands: conditional-request-review
## Available Commands
- `/skill conditional-request-review` — Load this skill
- `/run conditional-request-review` — Execute workflow
@@ -0,0 +1,10 @@
# Examples: conditional-request-review
## Usage Example
```python
# How to use this skill
# Inputs: request
# Process: Start: input agent prompts user for request and stores it in state field 'request' → Classify: branching agent evaluates 'request' and routes to Approve on success or Reject on failure, storing 'decision' → Approve: default agent formats approval message using 'request' and stores it in 'result'
# Outputs: result (string message indicating approval or rejection)
```
@@ -0,0 +1,25 @@
{
"name": "conditional-request-review",
"version": "1.0.0",
"goal": "Capture a user request, classify it via branching, and produce an approval or rejection result.",
"inputs": [
"request"
],
"steps": [
"Start: input agent prompts user for request and stores it in state field 'request'",
"Classify: branching agent evaluates 'request' and routes to Approve on success or Reject on failure, storing 'decision'",
"Approve: default agent formats approval message using 'request' and stores it in 'result'",
"Reject: default agent formats rejection message using 'request' and stores it in 'result'"
],
"outputs": [
"result (string message indicating approval or rejection)"
],
"failure_modes": [
"If branching classification fails, workflow routes to Reject (on_failure)",
"If input not provided, workflow may hang or error depending on runtime"
],
"confidence": 0.85,
"explanation": "Workflow extracted from AgentMap README example 'ReviewFlow' CSV. It is a generic conditional routing pattern usable for any binary decision process.",
"source_repo": "https://github.com/jwwelbor/AgentMap.git",
"score": 1.0
}
@@ -1,4 +1,4 @@
# Tests: conditional-review-workflow
# Tests: conditional-request-review
## Test Checklist
@@ -1,56 +0,0 @@
---
name: conditional-review-workflow
version: 1.0.0
description: Process a user request through branching logic to approve or reject it,
producing a routed decision result
inputs:
- 'request: string - The user''s request or input collected at runtime via the input
agent'
steps:
- 'Start: Input agent collects the user request and stores it in the ''request'' state
field, then routes to Classify node'
- 'Classify: Branching agent evaluates the ''request'' field and routes to Approve
node on success or Reject node on failure (on_failure)'
- 'Approve: Default agent formats an approval message using the request and stores
it in the ''result'' output field'
- 'Reject: Default agent formats a rejection message using the request and stores
it in the ''result'' output field'
outputs:
- 'result: string - Final message indicating whether the request was approved or rejected,
containing the original request'
tags: []
metadata:
source_repo: https://github.com/jwwelbor/AgentMap.git
extracted_at: ''
confidence: 0.85
---
# conditional-review-workflow
Process a user request through branching logic to approve or reject it, producing a routed decision result
## Steps
1. Start: Input agent collects the user request and stores it in the 'request' state field, then routes to Classify node
2. Classify: Branching agent evaluates the 'request' field and routes to Approve node on success or Reject node on failure (on_failure)
3. Approve: Default agent formats an approval message using the request and stores it in the 'result' output field
4. Reject: Default agent formats a rejection message using the request and stores it in the 'result' output field
## Inputs
- request: string - The user's request or input collected at runtime via the input agent
## Outputs
- result: string - Final message indicating whether the request was approved or rejected, containing the original request
## Failure Modes
- Input collection failure - user provides no or invalid input (no explicit on_failure defined for Start node in example)
- Branching classification failure - if branching agent cannot evaluate, it routes to Reject via on_failure configuration
- LLM provider unavailability - if branching or agents rely on LLM backends that are misconfigured or offline
## Source
Extracted from: [https://github.com/jwwelbor/AgentMap.git](https://github.com/jwwelbor/AgentMap.git)
Confidence: 0.85
@@ -1,6 +0,0 @@
# Commands: conditional-review-workflow
## Available Commands
- `/skill conditional-review-workflow` — Load this skill
- `/run conditional-review-workflow` — Execute workflow
@@ -1,10 +0,0 @@
# Examples: conditional-review-workflow
## Usage Example
```python
# How to use this skill
# Inputs: request: string - The user's request or input collected at runtime via the input agent
# Process: Start: Input agent collects the user request and stores it in the 'request' state field, then routes to Classify node → Classify: Branching agent evaluates the 'request' field and routes to Approve node on success or Reject node on failure (on_failure) → Approve: Default agent formats an approval message using the request and stores it in the 'result' output field
# Outputs: result: string - Final message indicating whether the request was approved or rejected, containing the original request
```
@@ -1,26 +0,0 @@
{
"name": "conditional-review-workflow",
"version": "1.0.0",
"goal": "Process a user request through branching logic to approve or reject it, producing a routed decision result",
"inputs": [
"request: string - The user's request or input collected at runtime via the input agent"
],
"steps": [
"Start: Input agent collects the user request and stores it in the 'request' state field, then routes to Classify node",
"Classify: Branching agent evaluates the 'request' field and routes to Approve node on success or Reject node on failure (on_failure)",
"Approve: Default agent formats an approval message using the request and stores it in the 'result' output field",
"Reject: Default agent formats a rejection message using the request and stores it in the 'result' output field"
],
"outputs": [
"result: string - Final message indicating whether the request was approved or rejected, containing the original request"
],
"failure_modes": [
"Input collection failure - user provides no or invalid input (no explicit on_failure defined for Start node in example)",
"Branching classification failure - if branching agent cannot evaluate, it routes to Reject via on_failure configuration",
"LLM provider unavailability - if branching or agents rely on LLM backends that are misconfigured or offline"
],
"confidence": 0.85,
"explanation": "Extracted from AgentMap's documented CSV workflow example (ReviewFlow). This is a reusable conditional routing pattern that can be adapted for any approval/rejection, triage, or binary-decision scenario by modifying the branching prompt and agent types. The CSV-based declarative format makes it portable across the AgentMap framework.",
"source_repo": "https://github.com/jwwelbor/AgentMap.git",
"score": 1.0
}