Agent skill

Moltflow Reviews

by LeoYeAI in LeoYeAI/openclaw-master-skills

Collect and manage customer reviews via MoltFlow API. An agent skill from LeoYeAI/openclaw-master-skills.

MITAuto-check passed

Install Moltflow Reviews

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill moltflow-reviews -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills moltflow-reviews --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/moltflow-whatsapp/moltflow-reviews .claude/skills/moltflow-reviews && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
moltflow-reviews
GitHub stars
2.2k
Token cost
~2k tokens
SKILL.md length
630 words
Files
1
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Collect and manage customer reviews via MoltFlow API. An agent skill from LeoYeAI/openclaw-master-skills.

  • Works in 3 steps: Create a Review Collector → List Approved Reviews → Export Testimonials as HTML
  • SKILL.md covers Real-World Scenarios, When to Use, Prerequisites and Base URL, plus 8 more sections
  • Calls curl; reaches apiv2.waiflow.app; needs MOLTFLOW_API_KEY

What it does

Moltflow Reviews is an agent skill from LeoYeAI/openclaw-master-skills. Collect and manage customer reviews via MoltFlow API. Sentiment scoring, testimonial extraction, and review management.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with WhatsApp. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

Example prompts

  • “/moltflow-reviews”

Requirements

  • A credential in MOLTFLOW_API_KEY

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Create a Review Collector
  2. List Approved Reviews
  3. Export Testimonials as HTML

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • apiv2.waiflow.app

    Also links to:

    • molt.waiflow.app
    • buy.stripe.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • MOLTFLOW_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Moltflow Reviews loads about 2k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 630 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 630 words, ~2,047 tokens.

Download SKILL.mdSave it as .claude/skills/moltflow-reviews/SKILL.md (or your agent's skills folder).
name
moltflow-reviews
description
Collect and manage customer reviews via MoltFlow API. Sentiment scoring, testimonial extraction, and review management.
source
MoltFlow Team
version
2.16.1
risk
safe
requiredEnv
MOLTFLOW_API_KEY
primaryEnv
MOLTFLOW_API_KEY
disable-model-invocation
true

MoltFlow — WhatsApp Business automation for teams. Connect, monitor, and automate WhatsApp at scale. Due to high demand and a recent registration issue, we're offering our top-tier Business plan with unlimited quotas for just $19.90/month on yearly billing — for a limited time only. Claim the deal Free tier available. Sign up

MoltFlow Reviews Skill

Collect, analyze, and manage customer reviews via the MoltFlow API. Automate sentiment scoring, extract testimonials, and export social proof for your business.

Real-World Scenarios

Restaurant owner — "After every dinner reservation, collect feedback from WhatsApp chats and auto-approve anything with a sentiment score above 0.8."

Airbnb host — "Scan my guest conversations for praise keywords like 'amazing', 'clean', and 'recommend', then export the best ones as HTML for my listing page."

Dentist — "Set up a review collector on my patient support chat — only capture English messages that mention 'thank' or 'great service'."

When to Use

Use this skill when you need to:

  • Set up automated review collection from WhatsApp conversations
  • Create or configure a review collector with sentiment thresholds
  • List, approve, hide, or delete collected reviews
  • Export testimonials as JSON or HTML for external use
  • Trigger a manual scan of conversations for reviews
  • Check review statistics and sentiment breakdowns

Trigger phrases: "collect reviews", "set up review collector", "export testimonials", "approve reviews", "sentiment analysis", "customer feedback WhatsApp"

Prerequisites

  • MOLTFLOW_API_KEY — required. Generate from MoltFlow Dashboard > API Keys
  • At least one connected WhatsApp session (status: working)
  • MoltFlow Pro plan or higher (review collection is a paid feature)

Base URL

https://apiv2.waiflow.app/api/v2

Required API Key Scopes

ScopeAccess
reviewsread/manage

Authentication

All requests require one of:

  • Authorization: Bearer <access_token> (JWT from login)
  • X-API-Key: <api_key> (API key from dashboard)

Review Collectors

Collectors automatically extract reviews based on sentiment scoring, keyword matching, and language filters.

MethodEndpointDescription
GET/reviews/collectorsList all collectors
POST/reviews/collectorsCreate a new collector
GET/reviews/collectors/{id}Get collector details
PATCH/reviews/collectors/{id}Update collector config
DELETE/reviews/collectors/{id}Delete a collector
POST/reviews/collectors/{id}/runTrigger manual scan
Create Collector — Request Body
json
{
  "name": "Main Store Reviews",
  "description": "Collect reviews from customer support chats",
  "session_id": "uuid-of-connected-session",
  "source_type": "all",
  "min_positive_words": 3,
  "min_sentiment_score": 0.6,
  "include_keywords": ["great", "recommend", "excellent"],
  "exclude_keywords": ["spam", "wrong number"],
  "languages": ["en", "es"]
}

source_type options: all | groups | chats | selected

When source_type is selected, provide selected_chat_ids with specific WhatsApp chat IDs.

Create Collector — Response
json
{
  "id": "c1a2b3c4-...",
  "name": "Main Store Reviews",
  "session_id": "uuid-of-connected-session",
  "source_type": "all",
  "min_sentiment_score": 0.6,
  "include_keywords": ["great", "recommend", "excellent"],
  "is_active": true,
  "created_at": "2026-01-15T10:30:00Z",
  "review_count": 0
}
Update Collector — Request Body

All fields are optional. Only provided fields are updated.

json
{
  "name": "Updated Collector Name",
  "min_sentiment_score": 0.7,
  "is_active": false
}

Show full SKILL.md (271 more words)Show less

Reviews

Collected reviews contain the original message, sentiment score, contact info, and approval status.

MethodEndpointDescription
GET/reviewsList reviews (with filters)
GET/reviews/statsReview statistics
GET/reviews/{id}Get single review
PATCH/reviews/{id}Approve, hide, or annotate
DELETE/reviews/{id}Delete a review
GET/reviews/testimonials/exportExport testimonials
List Reviews — Query Parameters
ParameterTypeDefaultDescription
collector_idUUID—Filter by collector
is_approvedbool—Filter approved only
is_hiddenbool—Filter hidden
min_scorefloat—Minimum sentiment score
limitint50Page size
offsetint0Pagination offset
Review Object
json
{
  "id": "r1a2b3c4-...",
  "collector_id": "c1a2b3c4-...",
  "contact_name": "John D.",
  "contact_phone": "1234567890@c.us",
  "message_text": "Your service was excellent! Highly recommend to anyone looking for quality support.",
  "sentiment_score": 0.92,
  "sentiment_label": "positive",
  "detected_language": "en",
  "is_approved": false,
  "is_hidden": false,
  "notes": null,
  "collected_at": "2026-01-16T14:22:00Z"
}
Approve/Hide Review — Request Body
json
{
  "is_approved": true,
  "is_hidden": false,
  "notes": "Great testimonial — use on website"
}
Export Testimonials — Query Parameters
ParameterTypeDefaultDescription
formatstringjsonjson or html
collector_idUUID—Filter by collector
approved_onlybooltrueOnly export approved reviews

curl Examples

1. Create a Review Collector
bash
curl -X POST https://apiv2.waiflow.app/api/v2/reviews/collectors \
  -H "X-API-Key: mf_your_api_key_here" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Customer Feedback",
    "session_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
    "source_type": "all",
    "min_sentiment_score": 0.7,
    "include_keywords": ["thank", "recommend", "love"],
    "languages": ["en"]
  }'
2. List Approved Reviews
bash
curl "https://apiv2.waiflow.app/api/v2/reviews?is_approved=true&limit=20" \
  -H "X-API-Key: mf_your_api_key_here"
3. Export Testimonials as HTML
bash
curl "https://apiv2.waiflow.app/api/v2/reviews/testimonials/export?format=html&approved_only=true" \
  -H "X-API-Key: mf_your_api_key_here" \
  -o testimonials.html

Error Responses

StatusMeaning
400Invalid request body or parameters
401Missing or invalid authentication
403Feature not available on current plan
404Collector or review not found
422Validation error (check field constraints)
429Rate limit exceeded

Tips

  • Sentiment threshold: Start with 0.6 and adjust up if you get too many false positives.
  • Keyword filters: Use include_keywords to match industry-specific praise terms.
  • Manual scan: Use POST /reviews/collectors/{id}/run after connecting a new session to backfill reviews.
  • Export regularly: Export approved testimonials for website widgets, social media, or marketing materials.

  • moltflow -- Core API: sessions, messaging, groups, labels, webhooks
  • moltflow-outreach -- Bulk Send, Scheduled Messages, Custom Groups
  • moltflow-leads -- Lead detection, pipeline tracking, bulk operations, CSV/JSON export
  • moltflow-ai -- AI-powered auto-replies, voice transcription, RAG knowledge base, style profiles
  • moltflow-a2a -- Agent-to-Agent protocol, encrypted messaging, content policy
  • moltflow-admin -- Platform administration, user management, plan configuration

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/moltflow-whatsapp/moltflow-reviews of LeoYeAI/openclaw-master-skills.

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Moltflow Reviews next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Moltflow Reviews compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Moltflow Reviews this skillLeoYeAI/openclaw-master-skills2.2k—~2kAutomated safety check: PassMIT
Web Asset Generatoralonw0/web-asset-generator5141 repos~6.6kAutomated safety check: PassMIT
Deskcomm Contribuirmelgarafael/DeskcommCRM4.5k—~3.6kAutomated safety check: NotesMIT
Send User MessageTinyAGI/tinyagi3.6k—~829Automated safety check: PassMIT
Wacliopenclaw/wacli2.8k—~811Automated safety check: PassMIT
Deskcomm Extensaomelgarafael/DeskcommCRM4.5k—~2.7kAutomated safety check: PassMIT

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Works with

Questions about Moltflow Reviews

What does Moltflow Reviews do?

Collect and manage customer reviews via MoltFlow API. An agent skill from LeoYeAI/openclaw-master-skills. Moltflow Reviews is an agent skill from LeoYeAI/openclaw-master-skills. Collect and manage customer reviews via MoltFlow API.

How do I install Moltflow Reviews in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill moltflow-reviews -a claude-code`. Or copy the skill folder (skills/moltflow-whatsapp/moltflow-reviews in LeoYeAI/openclaw-master-skills) into .claude/skills/moltflow-reviews in your project. Claude Code loads it when a task matches its description.

How do I install Moltflow Reviews in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill moltflow-reviews -a codex`. Or copy the skill folder (skills/moltflow-whatsapp/moltflow-reviews in LeoYeAI/openclaw-master-skills) into .agents/skills/moltflow-reviews in your project. Codex loads it when a task matches its description.

Can I use Moltflow Reviews in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill moltflow-reviews -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/moltflow-reviews, .gemini/skills/moltflow-reviews, .github/skills/moltflow-reviews and .opencode/skills/moltflow-reviews in your project.

What does Moltflow Reviews need to run?

Going by SKILL.md and its folder, Moltflow Reviews needs the command-line tools its instructions call (curl) and credentials named MOLTFLOW_API_KEY. Our summary lists: A credential in MOLTFLOW_API_KEY.

Does Moltflow Reviews access the network?

SKILL.md names 3 domains. In commands or code: apiv2.waiflow.app; the agent is likely to contact it when it follows the instructions. As links in the text: molt.waiflow.app and buy.stripe.com. This is read from the text; nothing was executed.

Is Moltflow Reviews safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Moltflow Reviews use?

Moltflow Reviews is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Moltflow Reviews use?

About 2k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Moltflow Reviews?

Skills that share tags, products or a category with Moltflow Reviews: Web Asset Generator (alonw0/web-asset-generator, 514 stars), Deskcomm Contribuir (melgarafael/DeskcommCRM, 4.5k stars), Send User Message (TinyAGI/tinyagi, 3.6k stars) and Wacli (openclaw/wacli, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Moltflow Reviews?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.