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svara-migrate
Switch existing text-to-speech code from OpenAI TTS (audio.speech) or ElevenLabs to Svara TTS Turbo, usually by changing only the base URL and API key, or port it to the native svara-voice SDK for lower latency. Use when the user wants an OpenAI TTS or ElevenLabs alternative, che
Übersicht
Switch existing text-to-speech code from OpenAI TTS (audio.speech) or ElevenLabs to Svara TTS Turbo, usually by changing only the base URL and API key, or port it to the native svara-voice SDK for lower latency. Use when the user wants an OpenAI TTS or ElevenLabs alternative, cheaper or more multilingual TTS, better Hindi or Indian-language voices, or asks to replace, compare or A/B test TTS providers in Python or JavaScript.
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Migrating to Svara TTS Turbo
Svara's HTTP API accepts OpenAI and ElevenLabs speech requests and uses their
error codes (invalid_api_key, rate_limit_exceeded, insufficient_quota), so
their SDKs' retry logic keeps working. Migration takes three steps:
- Point the base URL at Svara.
- Swap the key for
SVARA_API_KEY. - Replace the voice ids with Svara ids.
OpenAI voice names such as alloy and ElevenLabs voice ids won't work. Pick
sv_… ids with the svara-voices skill. Match on gender, accent and style.
OpenAI SDK → Svara (keep the SDK)
The base URL includes /v1.
import os
from openai import OpenAI
client = OpenAI(base_url="https://api.kenpathlabs.com/v1", api_key=os.environ["SVARA_API_KEY"])
audio = client.audio.speech.create(model="svara-tts-turbo", voice="sv_enhdbrj5",
input="Namaste!", response_format="mp3",
extra_body={"lang": "hi"}) # Svara-only fields go in extra_body
audio.write_to_file("out.mp3")
with client.audio.speech.with_streaming_response.create(
model="svara-tts-turbo", voice="sv_enhdbrj5", input=text, response_format="pcm",
extra_body={"stream": True}) as r: # needed, or nothing arrives until the whole clip renders
for chunk in r.iter_bytes():
player.write(chunk)
Without extra_body={"stream": True}, the server renders the whole clip
before sending the first byte. instructions and stream_format="sse" have no Svara equivalent.
Remove them.
JavaScript:
const client = new OpenAI({ baseURL: "https://api.kenpathlabs.com/v1", apiKey: process.env.SVARA_API_KEY });
const res = await client.audio.speech.create({
model: "svara-tts-turbo", voice: "sv_enhdbrj5", input: "Namaste!", response_format: "mp3",
// @ts-expect-error svara extension
lang: "hi",
});
ElevenLabs SDK → Svara (keep the SDK)
The base URL has no /v1, because the SDK appends it.
import os
from elevenlabs.client import ElevenLabs
client = ElevenLabs(base_url="https://api.kenpathlabs.com", api_key=os.environ["SVARA_API_KEY"])
audio = b"".join(client.text_to_speech.convert(voice_id="sv_enhdbrj5", text="Namaste!",
output_format="mp3_44100_128"))
for chunk in client.text_to_speech.stream(voice_id="sv_enhdbrj5", text=text, output_format="pcm_24000"):
player.write(chunk)
const client = new ElevenLabsClient({ baseUrl: "https://api.kenpathlabs.com", apiKey: process.env.SVARA_API_KEY });
Verified working:
convertandstream, with everyoutput_format, includingulaw_8000andalaw_8000convert_with_timestampsandstream_with_timestampsconvert_realtimevoices.get_all,voices.getandvoices.searchmodels.listuser.subscription.getpronunciation_dictionaries.list
Accepted but ignored:
model_idvoice_settings.stability,similarity_boostandstyle(onlyvoice_settings.speedis honoured)seed,previous_textandnext_text
Port to the native SDK (recommended for voice agents)
Only the native svara-voice SDK exposes Svara's own input-streaming socket.
That socket gives Svara TTS Turbo's ~80 ms first audio. ElevenLabs'
convert_realtime protocol buffers 120 characters before it generates
anything, so a live agent should use svara's stream_input() or
prepare(). HTTP streaming is equally fast from all three SDKs, so if you
have no live agent, keeping your current SDK is fine.
pip install svara-voice. Code written for the OpenAI SDK then runs on a Svara
client with only the constructor changed:
from svara import Svara
client = Svara() # instead of OpenAI(...)
client.audio.speech.create(model="svara-tts-turbo", voice="sv_enhdbrj5", input="Hi", response_format="mp3").write_to_file("hi.mp3")
| ElevenLabs | svara-voice |
|---|---|
text_to_speech.convert(voice_id, text=…, output_format="mp3_44100_128") | speech.create(voice=…, input=…, **svara.output_format("mp3_44100_128")) |
text_to_speech.stream(...) | speech.stream(voice=…, input=…) |
text_to_speech.convert_realtime(voice_id, text=iterator) | speech.stream_input(iterator, voice=…) |
voice_settings.speed | speed= (0.7–1.5) |
language_code="hi" | language="hi" |
pronunciation_dictionary_locators=[…] | pronunciation_dictionary_id="…" |
voices.get_all().voices / voices.search(search=…) | voices.list() / voices.search("…") |
ApiError | svara.SvaraError (.status_code, .code, .body) |
For LiveKit, replace the ElevenLabs or OpenAI TTS plugin with
svara.livekit.TTS(voice=...). For Pipecat, use svara.pipecat.SvaraTTSService.
See svara-voice-agent.
Comparing providers fairly
- Compare time to first audio, not total bytes or duration. Generation is
stochastic, so audio length varies from run to run.
stream.time_to_first_audiomeasures it on a Svara stream. - Interleave the providers (A, B, A, B…) rather than running all of A and then all of B.
- Reuse one client for each provider. A new connection adds a TCP and TLS handshake to every request.
- Listen to non-English and mixed-language samples. That is where the differences show.
Pricing is per character and the same on every plan. See https://kenpathlabs.com/pricing for current rates and the free tier.
Dateimetadaten
name: svara-migrate description: Switch existing text-to-speech code from OpenAI TTS (audio.speech) or ElevenLabs to Svara TTS Turbo, usually by changing only the base URL and API key, or port it to the native svara-voice SDK for lower latency. Use when the user wants an OpenAI TTS or ElevenLabs alternative, cheaper or more multilingual TTS, better Hindi or Indian-language voices, or asks to replace, compare or A/B test TTS providers in Python or JavaScript. license: Apache-2.0 compatibility: Needs SVARA_API_KEY and network access to api.kenpathlabs.com. Works with the openai (Python/JS), elevenlabs (Python) and @elevenlabs/elevenlabs-js SDKs, or with svara-voice. metadata: author: Kenpath Labs version: "1.0" homepage: https://docs.kenpathlabs.com/sdks
Originaltext anzeigen
---
name: svara-migrate
description: Switch existing text-to-speech code from OpenAI TTS (audio.speech) or ElevenLabs to Svara TTS Turbo, usually by changing only the base URL and API key, or port it to the native svara-voice SDK for lower latency. Use when the user wants an OpenAI TTS or ElevenLabs alternative, cheaper or more multilingual TTS, better Hindi or Indian-language voices, or asks to replace, compare or A/B test TTS providers in Python or JavaScript.
license: Apache-2.0
compatibility: Needs SVARA_API_KEY and network access to api.kenpathlabs.com. Works with the openai (Python/JS), elevenlabs (Python) and @elevenlabs/elevenlabs-js SDKs, or with svara-voice.
metadata:
author: Kenpath Labs
version: "1.0"
homepage: https://docs.kenpathlabs.com/sdks
---
# Migrating to Svara TTS Turbo
Svara's HTTP API accepts OpenAI and ElevenLabs speech requests and uses their
error codes (`invalid_api_key`, `rate_limit_exceeded`, `insufficient_quota`), so
their SDKs' retry logic keeps working. Migration takes three steps:
1. Point the base URL at Svara.
2. Swap the key for `SVARA_API_KEY`.
3. Replace the voice ids with Svara ids.
OpenAI voice names such as `alloy` and ElevenLabs voice ids won't work. Pick
`sv_…` ids with the **svara-voices** skill. Match on gender, accent and style.
## OpenAI SDK → Svara (keep the SDK)
**The base URL includes `/v1`.**
```python
import os
from openai import OpenAI
client = OpenAI(base_url="https://api.kenpathlabs.com/v1", api_key=os.environ["SVARA_API_KEY"])
audio = client.audio.speech.create(model="svara-tts-turbo", voice="sv_enhdbrj5",
input="Namaste!", response_format="mp3",
extra_body={"lang": "hi"}) # Svara-only fields go in extra_body
audio.write_to_file("out.mp3")
with client.audio.speech.with_streaming_response.create(
model="svara-tts-turbo", voice="sv_enhdbrj5", input=text, response_format="pcm",
extra_body={"stream": True}) as r: # needed, or nothing arrives until the whole clip renders
for chunk in r.iter_bytes():
player.write(chunk)
```
Without `extra_body={"stream": True}`, the server renders the whole clip
before sending the first byte. `instructions` and `stream_format="sse"` have no Svara equivalent.
Remove them.
JavaScript:
```javascript
const client = new OpenAI({ baseURL: "https://api.kenpathlabs.com/v1", apiKey: process.env.SVARA_API_KEY });
const res = await client.audio.speech.create({
model: "svara-tts-turbo", voice: "sv_enhdbrj5", input: "Namaste!", response_format: "mp3",
// @ts-expect-error svara extension
lang: "hi",
});
```
## ElevenLabs SDK → Svara (keep the SDK)
**The base URL has no `/v1`**, because the SDK appends it.
```python
import os
from elevenlabs.client import ElevenLabs
client = ElevenLabs(base_url="https://api.kenpathlabs.com", api_key=os.environ["SVARA_API_KEY"])
audio = b"".join(client.text_to_speech.convert(voice_id="sv_enhdbrj5", text="Namaste!",
output_format="mp3_44100_128"))
for chunk in client.text_to_speech.stream(voice_id="sv_enhdbrj5", text=text, output_format="pcm_24000"):
player.write(chunk)
```
```javascript
const client = new ElevenLabsClient({ baseUrl: "https://api.kenpathlabs.com", apiKey: process.env.SVARA_API_KEY });
```
Verified working:
- `convert` and `stream`, with every `output_format`, including `ulaw_8000` and `alaw_8000`
- `convert_with_timestamps` and `stream_with_timestamps`
- `convert_realtime`
- `voices.get_all`, `voices.get` and `voices.search`
- `models.list`
- `user.subscription.get`
- `pronunciation_dictionaries.list`
Accepted but ignored:
- `model_id`
- `voice_settings.stability`, `similarity_boost` and `style` (only `voice_settings.speed` is honoured)
- `seed`, `previous_text` and `next_text`
## Port to the native SDK (recommended for voice agents)
Only the native `svara-voice` SDK exposes Svara's own input-streaming socket.
That socket gives Svara TTS Turbo's ~80 ms first audio. ElevenLabs'
`convert_realtime` protocol buffers 120 characters before it generates
anything, so a live agent should use `svara`'s `stream_input()` or
`prepare()`. HTTP streaming is equally fast from all three SDKs, so if you
have no live agent, keeping your current SDK is fine.
`pip install svara-voice`. Code written for the OpenAI SDK then runs on a `Svara`
client with only the constructor changed:
```python
from svara import Svara
client = Svara() # instead of OpenAI(...)
client.audio.speech.create(model="svara-tts-turbo", voice="sv_enhdbrj5", input="Hi", response_format="mp3").write_to_file("hi.mp3")
```
| ElevenLabs | svara-voice |
|---|---|
| `text_to_speech.convert(voice_id, text=…, output_format="mp3_44100_128")` | `speech.create(voice=…, input=…, **svara.output_format("mp3_44100_128"))` |
| `text_to_speech.stream(...)` | `speech.stream(voice=…, input=…)` |
| `text_to_speech.convert_realtime(voice_id, text=iterator)` | `speech.stream_input(iterator, voice=…)` |
| `voice_settings.speed` | `speed=` (0.7–1.5) |
| `language_code="hi"` | `language="hi"` |
| `pronunciation_dictionary_locators=[…]` | `pronunciation_dictionary_id="…"` |
| `voices.get_all().voices` / `voices.search(search=…)` | `voices.list()` / `voices.search("…")` |
| `ApiError` | `svara.SvaraError` (`.status_code`, `.code`, `.body`) |
For LiveKit, replace the ElevenLabs or OpenAI TTS plugin with
`svara.livekit.TTS(voice=...)`. For Pipecat, use `svara.pipecat.SvaraTTSService`.
See **svara-voice-agent**.
## Comparing providers fairly
- **Compare time to first audio, not total bytes or duration.** Generation is
stochastic, so audio length varies from run to run.
`stream.time_to_first_audio` measures it on a Svara stream.
- **Interleave the providers** (A, B, A, B…) rather than running all of A and then all of B.
- **Reuse one client for each provider.** A new connection adds a TCP and TLS handshake to every request.
- **Listen to non-English and mixed-language samples.** That is where the differences show.
Pricing is per character and the same on every plan. See
https://kenpathlabs.com/pricing for current rates and the free tier.
Quelle prüfen
Preis und Betriebskosten
- Skill beziehen
- Preis unbestätigt
- Ausführen
- Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
- Lizenz
- Apache-2.0
- Preis unbestätigt
- Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.
Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →
Skill-Quelle erfasst
Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.
Vor Installation prüfen: Automatische Installation vermeiden
Lizenz: Apache-2.0
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- Low GitHub adoption signal
- KI-Prüffreigabe fehlt
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- Permission surface needs review: secrets or environment access, network or browser access
- GitHub adoption: 0 GitHub stars
- Stars/forks activity: 0 stars, 0 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: credential or environment access, external package install surface
- Permission surface: secrets or environment access, network or browser access
Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.
Mit einer kleinen Aufgabe beginnen
- 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
- 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
- 3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.
Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.
Quelle und Nutzungshinweise
Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.
- Quell-Repository
- kenpath-labs/svara-python
- Lizenz
- Apache-2.0
- Version
- 1.0
- Letzter GitHub-Push
- 3. Okt. 2026
- Verzeichnis aktualisiert
- 3. Okt. 2026
- Anleitungspfad
- skills/svara-migrate/SKILL.md @ 3b607656ae9e
Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.
Qualität
45/100
Prüfung nötig
Vertrauen
60/100
Nur Sandbox
Audit
69/100
Riskant
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- Low GitHub adoption signal
- KI-Prüffreigabe fehlt
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- Permission surface needs review: secrets or environment access, network or browser access
- GitHub adoption: 0 GitHub stars
- Stars/forks activity: 0 stars, 0 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: credential or environment access, external package install surface
- Permission surface: secrets or environment access, network or browser access
- Verified installs
- —
- Ergebnisse
- —
Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.
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Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Weitere Details
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"score": 68,
"label": "Manual review",
"version": "trust-score-v4",
"install_policy": "block",
"evidence": {
"stars": "0 GitHub stars",
"repoActivity": "0 stars, 0 forks",
"lastPushed": "8d since push",
"license": "Apache-2.0",
"repository": "https://github.com/kenpath-labs/svara-python/tree/3b607656ae9e9ba3fc5ae1d3f64d80eb51bb3cd4/skills/svara-migrate",
"install": "npx skills add kenpath-labs/svara-python --skill svara-migrate",
"installSafety": "standard package or runtime install path",
"permissionSurface": "secrets or environment access, network or browser access",
"documentation": "Strong README/SKILL.md context",
"agentOutcomes": "No agent outcome data yet"
},
"outcome_evidence": {
"total": 0,
"successes": 0,
"failures": 0,
"not_relevant": 0,
"success_rate": null,
"recent_success_rate": null,
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"install_attempts": 0,
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"risk_blocked": 0,
"setup_required": 0,
"avg_output_quality": null,
"production_outcomes": 0,
"last_outcome_at": null,
"label": "No agent outcome data yet"
},
"auto_install": {
"allowed": false,
"sandbox_required": true,
"reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"best_for": [
"developer-tools",
"tts",
"migration",
"openai",
"elevenlabs",
"text-to-speech"
],
"known_risks": [
"AI review approval is missing",
"This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
"Low GitHub adoption signal",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, network or browser access",
"GitHub adoption: 0 GitHub stars",
"Stars/forks activity: 0 stars, 0 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: credential or environment access, external package install surface"
]
},
"agent_proven": {
"version": "agent-proven-v1",
"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 69,
"risk_level": "risky",
"risk_label": "Risky",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
"Low GitHub adoption signal",
"AI review approval is missing",
"This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, network or browser access"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 45,
"label": "Needs review"
},
"supply": {
"track": "Coding and developer agents",
"scenario": "Coding agents",
"maintenance": "8d since push",
"risk": "Risky"
},
"alternative_skills": [
{
"slug": "openclaw-openai-whisper",
"name": "openai-whisper",
"url": "https://www.openagentskill.com/skills/openclaw-openai-whisper",
"stars": 391309,
"install_command": "npx skills add openclaw/openclaw --skill openai-whisper",
"trust_score": 81,
"audit_score": 86
},
{
"slug": "latent-spaces-brag-slim",
"name": "brag-slim",
"url": "https://www.openagentskill.com/skills/latent-spaces-brag-slim",
"stars": 13807,
"install_command": "npx skills add latent-spaces/brag --skill brag-slim",
"trust_score": 81,
"audit_score": 84
},
{
"slug": "orchestra-research-nemo-curator",
"name": "nemo-curator",
"url": "https://www.openagentskill.com/skills/orchestra-research-nemo-curator",
"stars": 13443,
"install_command": "npx skills add Orchestra-Research/AI-Research-SKILLs --skill nemo-curator",
"trust_score": 81,
"audit_score": 85
},
{
"slug": "krillinai-krillinai-render-horizontal",
"name": "krillinai-render-horizontal",
"url": "https://www.openagentskill.com/skills/krillinai-krillinai-render-horizontal",
"stars": 12690,
"install_command": "npx skills add krillinai/OpenCreator --skill krillinai-render-horizontal",
"trust_score": 82,
"audit_score": 85
}
],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"Low GitHub adoption signal",
"Audit risk risky exceeds max_risk=medium",
"High-risk permission hints: Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required"
],
"agent_contract": {
"task_input": "Use svara-migrate in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 68/100 Manual review",
"Audit: 69/100 Risky",
"Safety: 41/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "kenpath-labs-svara-python-svara-migrate (svara-migrate)",
"install_command": "npx skills add kenpath-labs/svara-python --skill svara-migrate",
"risk_summary": "Risky; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "kenpath-labs-svara-python-svara-migrate",
"task": "Use svara-migrate in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/kenpath-labs-svara-python-svara-migrate",
"api": "https://www.openagentskill.com/api/agent/skills/kenpath-labs-svara-python-svara-migrate",
"audit": "https://www.openagentskill.com/skills/kenpath-labs-svara-python-svara-migrate/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=kenpath-labs-svara-python-svara-migrate&task=Use%20svara-migrate%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20svara-migrate%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20svara-migrate%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/kenpath-labs-svara-python-svara-migrate/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/kenpath-labs-svara-python-svara-migrate"
}
}Für Ersteller
Quelle des Eintrags
Community-Einreichung
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- Kenpath Labs
- Indexiert von
- OpenAgentSkill Community-Index
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