activepieces
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Crawler Summary
LimeSurvey RemoteControl 2 API --- name: limesurvey description: Automate LimeSurvey operations via RemoteControl 2 API. Use when: (1) managing surveys, questions, groups, or participants, (2) exporting responses or statistics, (3) sending invitations or reminders, (4) importing surveys or questions, (5) batch operations on survey data. Supports JSON-RPC API with full CRUD operations for surveys, participants, responses, questions, and groups. --- Published capability contract available. No trust telemetry is available yet. Last updated 2/25/2026.
Freshness
Last checked 2/25/2026
Best For
Contract is available with explicit auth and schema references.
Not Ideal For
limesurvey-openclaw-skill is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.
Evidence Sources Checked
editorial-content, capability-contract, runtime-metrics, public facts pack
LimeSurvey RemoteControl 2 API --- name: limesurvey description: Automate LimeSurvey operations via RemoteControl 2 API. Use when: (1) managing surveys, questions, groups, or participants, (2) exporting responses or statistics, (3) sending invitations or reminders, (4) importing surveys or questions, (5) batch operations on survey data. Supports JSON-RPC API with full CRUD operations for surveys, participants, responses, questions, and groups. ---
Public facts
6
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Published capability contract available. No trust telemetry is available yet. Last updated 2/25/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Olegantonov
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Published capability contract available. No trust telemetry is available yet. Last updated 2/25/2026.
Setup snapshot
git clone https://github.com/olegantonov/limesurvey-openclaw-skill.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Olegantonov
Protocol compatibility
OpenClaw
Auth modes
api_key
Machine-readable schemas
OpenAPI or schema references published
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
bash
export LIMESURVEY_URL='https://survey.example.com/index.php/admin/remotecontrol' export LIMESURVEY_USER='admin' export LIMESURVEY_PASSWORD='your_password'
bash
# List all surveys python3 scripts/limesurvey.py list-surveys # Export responses python3 scripts/limesurvey.py export-responses 123456 --format csv -o responses.csv # List participants python3 scripts/limesurvey.py list-participants 123456 --limit 100 # Add participants from JSON python3 scripts/limesurvey.py add-participants 123456 --file participants.json # Send invitations python3 scripts/limesurvey.py invite-participants 123456 # Activate survey python3 scripts/limesurvey.py activate-survey 123456 # Get survey statistics python3 scripts/limesurvey.py get-summary 123456
python
from scripts.limesurvey_client import LimeSurveySession
url = 'https://survey.example.com/index.php/admin/remotecontrol'
with LimeSurveySession(url, 'admin', 'password') as client:
# List surveys
surveys = client.call('list_surveys', client.session_key)
# Export responses
encoded = client.call('export_responses', client.session_key,
survey_id, 'csv')
csv_data = client.decode_base64(encoded)python
surveys = client.call('list_surveys', client.session_key)python
result = client.call('activate_survey', client.session_key, survey_id)python
stats = client.call('get_summary', client.session_key, survey_id, 'all')
# Returns: completed_responses, incomplete_responses, token_count, etc.Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
LimeSurvey RemoteControl 2 API --- name: limesurvey description: Automate LimeSurvey operations via RemoteControl 2 API. Use when: (1) managing surveys, questions, groups, or participants, (2) exporting responses or statistics, (3) sending invitations or reminders, (4) importing surveys or questions, (5) batch operations on survey data. Supports JSON-RPC API with full CRUD operations for surveys, participants, responses, questions, and groups. ---
Automate LimeSurvey survey management via the RemoteControl 2 JSON-RPC API.
Set environment variables:
export LIMESURVEY_URL='https://survey.example.com/index.php/admin/remotecontrol'
export LIMESURVEY_USER='admin'
export LIMESURVEY_PASSWORD='your_password'
# List all surveys
python3 scripts/limesurvey.py list-surveys
# Export responses
python3 scripts/limesurvey.py export-responses 123456 --format csv -o responses.csv
# List participants
python3 scripts/limesurvey.py list-participants 123456 --limit 100
# Add participants from JSON
python3 scripts/limesurvey.py add-participants 123456 --file participants.json
# Send invitations
python3 scripts/limesurvey.py invite-participants 123456
# Activate survey
python3 scripts/limesurvey.py activate-survey 123456
# Get survey statistics
python3 scripts/limesurvey.py get-summary 123456
from scripts.limesurvey_client import LimeSurveySession
url = 'https://survey.example.com/index.php/admin/remotecontrol'
with LimeSurveySession(url, 'admin', 'password') as client:
# List surveys
surveys = client.call('list_surveys', client.session_key)
# Export responses
encoded = client.call('export_responses', client.session_key,
survey_id, 'csv')
csv_data = client.decode_base64(encoded)
List all surveys:
surveys = client.call('list_surveys', client.session_key)
Activate a survey:
result = client.call('activate_survey', client.session_key, survey_id)
Get survey statistics:
stats = client.call('get_summary', client.session_key, survey_id, 'all')
# Returns: completed_responses, incomplete_responses, token_count, etc.
Copy a survey:
result = client.call('copy_survey', client.session_key,
source_id, "New Survey Name")
new_id = result['newsid']
Initialize participant table:
# Create table with custom attributes
client.call('activate_tokens', client.session_key, survey_id, [1, 2, 3])
Add participants:
participants = [
{"email": "[email protected]", "firstname": "John", "lastname": "Doe"},
{"email": "[email protected]", "firstname": "Jane", "lastname": "Smith"}
]
result = client.call('add_participants', client.session_key,
survey_id, participants, True)
Send invitations:
# Send to specific tokens
token_ids = [1, 2, 3]
result = client.call('invite_participants', client.session_key,
survey_id, token_ids)
# Or send to all pending
result = client.call('invite_participants', client.session_key,
survey_id, None)
List participants with filters:
# Find unused tokens
participants = client.call('list_participants', client.session_key,
survey_id, 0, 100, True)
# Find by custom attribute
participants = client.call('list_participants', client.session_key,
survey_id, 0, 1000, False, False,
{'attribute_1': 'ACME Corp'})
Export all responses:
encoded = client.call('export_responses', client.session_key,
survey_id, 'csv')
csv_data = client.decode_base64(encoded)
with open('responses.csv', 'w') as f:
f.write(csv_data)
Export only completed responses:
encoded = client.call('export_responses', client.session_key,
survey_id, 'csv', None, 'complete')
Export by token:
encoded = client.call('export_responses_by_token', client.session_key,
survey_id, 'json', ['token1', 'token2'])
Add a response programmatically:
response_data = {
'G1Q1': 'Answer text',
'G1Q2': '3', # Multiple choice value
'token': 'xyz123'
}
response_id = client.call('add_response', client.session_key,
survey_id, response_data)
List groups:
groups = client.call('list_groups', client.session_key, survey_id)
Add a question group:
group_id = client.call('add_group', client.session_key, survey_id,
'Demographics', 'Basic information')
List questions:
# All questions in survey
questions = client.call('list_questions', client.session_key, survey_id)
# Questions in specific group
questions = client.call('list_questions', client.session_key,
survey_id, group_id)
Get question details:
props = client.call('get_question_properties', client.session_key,
question_id, ['question', 'type', 'mandatory'])
Generate statistics PDF:
encoded = client.call('export_statistics', client.session_key,
survey_id, 'pdf', None, '1') # With graphs
import base64
pdf_data = base64.b64decode(encoded)
with open('stats.pdf', 'wb') as f:
f.write(pdf_data)
Get submission timeline:
timeline = client.call('export_timeline', client.session_key,
survey_id, 'day', '2024-01-01', '2024-12-31')
for entry in timeline:
print(f"{entry['period']}: {entry['count']} submissions")
Get survey fieldmap:
fieldmap = client.call('get_fieldmap', client.session_key, survey_id)
# Maps question codes to metadata
All API functions return status objects on error:
result = client.call('activate_survey', client.session_key, survey_id)
if isinstance(result, dict) and 'status' in result:
print(f"Error: {result['status']}")
# Common errors:
# - Invalid session key
# - No permission
# - Invalid survey ID
# - Survey already active
else:
print("Success!")
Use try/except for connection errors:
from scripts.limesurvey_client import LimeSurveyError
try:
with LimeSurveySession(url, username, password) as client:
result = client.call('list_surveys', client.session_key)
except LimeSurveyError as e:
print(f"API error: {e}")
get_session_key(username, password) - Create sessionrelease_session_key(session_key) - Close sessionlist_surveys(session_key) - List all surveysget_survey_properties(session_key, survey_id, properties) - Get propertiesset_survey_properties(session_key, survey_id, properties) - Update propertiesactivate_survey(session_key, survey_id) - Activate surveydelete_survey(session_key, survey_id) - Delete surveycopy_survey(session_key, source_id, new_name) - Duplicate surveyimport_survey(session_key, data, type) - Import from fileget_summary(session_key, survey_id, stat) - Get statisticsactivate_tokens(session_key, survey_id, attributes) - Initialize tablelist_participants(session_key, survey_id, start, limit, unused, attributes, conditions) - List participantsadd_participants(session_key, survey_id, data, create_token) - Add participantsdelete_participants(session_key, survey_id, token_ids) - Delete participantsget_participant_properties(session_key, survey_id, query, properties) - Get propertiesset_participant_properties(session_key, survey_id, query, properties) - Update propertiesinvite_participants(session_key, survey_id, token_ids) - Send invitationsremind_participants(session_key, survey_id, token_ids) - Send remindersexport_responses(session_key, survey_id, format, ...) - Export responsesexport_responses_by_token(session_key, survey_id, format, tokens) - Export by tokenadd_response(session_key, survey_id, data) - Add responseupdate_response(session_key, survey_id, data) - Update responsedelete_response(session_key, survey_id, response_id) - Delete responseget_response_ids(session_key, survey_id, token) - Find response IDslist_groups(session_key, survey_id) - List groupsadd_group(session_key, survey_id, title, description) - Create groupdelete_group(session_key, survey_id, group_id) - Delete groupget_group_properties(session_key, group_id, properties) - Get propertiesset_group_properties(session_key, group_id, properties) - Update propertieslist_questions(session_key, survey_id, group_id) - List questionsget_question_properties(session_key, question_id, properties) - Get propertiesset_question_properties(session_key, question_id, properties) - Update propertiesimport_question(session_key, survey_id, group_id, data, type) - Import questiondelete_question(session_key, question_id) - Delete questionexport_statistics(session_key, survey_id, doc_type, language, graph) - Export statisticsexport_timeline(session_key, survey_id, type, start, end) - Submission timelineget_fieldmap(session_key, survey_id) - Get question codesrelease_session_key or use LimeSurveySession context managerclient.decode_base64() or base64.b64decode()application/json (handled automatically by client)Official LimeSurvey API: https://api.limesurvey.org/classes/remotecontrol-handle.html
Manual: https://www.limesurvey.org/manual/RemoteControl_2_API
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
ready
Auth
api_key
Streaming
No
Data region
global
Protocol support
Requires: openclew, lang:typescript
Forbidden: none
Guardrails
Operational confidence: medium
curl -s "https://www.xpersona.co/api/v1/agents/olegantonov-limesurvey-openclaw-skill/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/olegantonov-limesurvey-openclaw-skill/contract"
curl -s "https://www.xpersona.co/api/v1/agents/olegantonov-limesurvey-openclaw-skill/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
AI productivity studio with smart chat, autonomous agents, and 300+ assistants.
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
The Frontend for Agents & Generative UI. React + Angular
Contract JSON
{
"contractStatus": "ready",
"authModes": [
"api_key"
],
"requires": [
"openclew",
"lang:typescript"
],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": "https://github.com/olegantonov/limesurvey-openclaw-skill#input",
"outputSchemaRef": "https://github.com/olegantonov/limesurvey-openclaw-skill#output",
"dataRegion": "global",
"contractUpdatedAt": "2026-02-24T19:44:28.904Z",
"sourceUpdatedAt": "2026-02-24T19:44:28.904Z",
"freshnessSeconds": 19555017
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://www.xpersona.co/api/v1/agents/olegantonov-limesurvey-openclaw-skill/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/olegantonov-limesurvey-openclaw-skill/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/olegantonov-limesurvey-openclaw-skill/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/olegantonov-limesurvey-openclaw-skill/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/olegantonov-limesurvey-openclaw-skill/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/olegantonov-limesurvey-openclaw-skill/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-10-09T03:41:26.618Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Olegantonov",
"href": "https://github.com/olegantonov/limesurvey-openclaw-skill",
"sourceUrl": "https://github.com/olegantonov/limesurvey-openclaw-skill",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T01:46:04.849Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/olegantonov-limesurvey-openclaw-skill/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/olegantonov-limesurvey-openclaw-skill/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-24T19:44:28.904Z",
"isPublic": true
},
{
"factKey": "auth_modes",
"category": "compatibility",
"label": "Auth modes",
"value": "api_key",
"href": "https://www.xpersona.co/api/v1/agents/olegantonov-limesurvey-openclaw-skill/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/olegantonov-limesurvey-openclaw-skill/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:44:28.904Z",
"isPublic": true
},
{
"factKey": "schema_refs",
"category": "artifact",
"label": "Machine-readable schemas",
"value": "OpenAPI or schema references published",
"href": "https://github.com/olegantonov/limesurvey-openclaw-skill#input",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/olegantonov-limesurvey-openclaw-skill/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:44:28.904Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/olegantonov-limesurvey-openclaw-skill/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/olegantonov-limesurvey-openclaw-skill/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
Ads related to limesurvey-openclaw-skill and adjacent AI workflows.