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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 110 deletions
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---
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
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# Commands: conditional-request-review
## Available Commands
- `/skill conditional-request-review` — Load this skill
- `/run conditional-request-review` — Execute workflow
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# 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)
```
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{
"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: text-concatenation # Tests: conditional-request-review
## Test Checklist ## Test Checklist
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---
name: text-concatenation
version: 1.0.0
description: Concatenate two text inputs using Blacknode node graph
inputs:
- text_a
- text_b
steps:
- Create a Blacknode Graph instance
- Add a Text node with param value set to text_a
- Add a second Text node with param value set to text_b
- Add a Concat node that accepts inputs 'a' and 'b' and outputs 'value'
- Add an Output node with input port 'value'
- Connect first Text node 'value' port to Concat 'a' port
- Connect second Text node 'value' port to Concat 'b' port
- Connect Concat 'value' port to Output 'value' port
- Invoke graph cook on Output 'value' to evaluate and return result
outputs:
- concatenated_text
tags: []
metadata:
source_repo: https://github.com/temiroff/Blacknode.git
extracted_at: ''
confidence: 0.9
---
# text-concatenation
Concatenate two text inputs using Blacknode node graph
## Steps
1. Create a Blacknode Graph instance
2. Add a Text node with param value set to text_a
3. Add a second Text node with param value set to text_b
4. Add a Concat node that accepts inputs 'a' and 'b' and outputs 'value'
5. Add an Output node with input port 'value'
6. Connect first Text node 'value' port to Concat 'a' port
7. Connect second Text node 'value' port to Concat 'b' port
8. Connect Concat 'value' port to Output 'value' port
9. Invoke graph cook on Output 'value' to evaluate and return result
## Inputs
- text_a
- text_b
## Outputs
- concatenated_text
## Failure Modes
- Port name mismatch causes connection error
- Missing runtime or graph not initialized
- Cook on nonexistent node returns error
## Source
Extracted from: [https://github.com/temiroff/Blacknode.git](https://github.com/temiroff/Blacknode.git)
Confidence: 0.9
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# Commands: text-concatenation
## Available Commands
- `/skill text-concatenation` — Load this skill
- `/run text-concatenation` — Execute workflow
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# Examples: text-concatenation
## Usage Example
```python
# How to use this skill
# Inputs: text_a, text_b
# Process: Create a Blacknode Graph instance → Add a Text node with param value set to text_a → Add a second Text node with param value set to text_b
# Outputs: concatenated_text
```
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{
"name": "text-concatenation",
"version": "1.0.0",
"goal": "Concatenate two text inputs using Blacknode node graph",
"inputs": [
"text_a",
"text_b"
],
"steps": [
"Create a Blacknode Graph instance",
"Add a Text node with param value set to text_a",
"Add a second Text node with param value set to text_b",
"Add a Concat node that accepts inputs 'a' and 'b' and outputs 'value'",
"Add an Output node with input port 'value'",
"Connect first Text node 'value' port to Concat 'a' port",
"Connect second Text node 'value' port to Concat 'b' port",
"Connect Concat 'value' port to Output 'value' port",
"Invoke graph cook on Output 'value' to evaluate and return result"
],
"outputs": [
"concatenated_text"
],
"failure_modes": [
"Port name mismatch causes connection error",
"Missing runtime or graph not initialized",
"Cook on nonexistent node returns error"
],
"confidence": 0.9,
"explanation": "The repo contains example converted workflows; converted_text_pipeline.py demonstrates a simple reusable pattern of two source nodes feeding a concatenation node into an output, applicable to any string joining task in Blacknode.",
"source_repo": "https://github.com/temiroff/Blacknode.git",
"score": 1.0
}