{"slug":"itsmostafa-bedrock","name":"bedrock","description":"AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.","long_description":"---\nname: bedrock\ndescription: AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.\nlast_updated: \"2026-01-07\"\ndoc_source: https://docs.aws.amazon.com/bedrock/latest/userguide/\n---\n\n# AWS Bedrock\n\nAmazon Bedrock provides access to foundation models (FMs) from AI companies through a unified API. Build generative AI applications with text generation, embeddings, and image generation capabilities.\n\n## Table of Contents\n\n- [Core Concepts](#core-concepts)\n- [Common Patterns](#common-patterns)\n- [CLI Reference](#cli-reference)\n- [Best Practices](#best-practices)\n- [Troubleshooting](#troubleshooting)\n- [References](#references)\n\n## Core Concepts\n\n### Foundation Models\n\nPre-trained models available through Bedrock:\n- **Claude** (Anthropic): Text generation, analysis, coding\n- **Titan** (Amazon): Text, embeddings, image generation\n- **Llama** (Meta): Open-weight text generation\n- **Mistral**: Efficient text generation\n- **Stable Diffusion** (Stability AI): Image generation\n\n### Model Access\n\nModels must be enabled in your account before use:\n- Request access in Bedrock console\n- Some models require acceptance of EULAs\n- Access is region-specific\n\n### Inference Types\n\n| Type | Use Case | Pricing |\n|------|----------|---------|\n| **On-Demand** | Variable workloads | Per token |\n| **Provisioned Throughput** | Consistent high-volume | Hourly commitment |\n| **Batch Inference** | Async large-scale | Discounted per token |\n\n## Common Patterns\n\n### Invoke Model (Text Generation)\n\n**AWS CLI:**\n\n```bash\n# Invoke Claude\naws bedrock-runtime invoke-model \\\n  --model-id anthropic.claude-3-sonnet-20240229-v1:0 \\\n  --content-type application/json \\\n  --accept application/json \\\n  --body '{\n    \"anthropic_version\": \"bedrock-2023-05-31\",\n    \"max_tokens\": 1024,\n    \"messages\": [\n      {\"role\": \"user\", \"content\": \"Explain AWS Lambda in 3 sentences.\"}\n    ]\n  }' \\\n  response.json\n\ncat response.json | jq -r '.content[0].text'\n```\n\n**boto3:**\n\n```python\nimport boto3\nimport json\n\nbedrock = boto3.client('bedrock-runtime')\n\ndef invoke_claude(prompt, max_tokens=1024):\n    response = bedrock.invoke_model(\n        modelId='anthropic.claude-3-sonnet-20240229-v1:0',\n        contentType='application/json',\n        accept='application/json',\n        body=json.dumps({\n            'anthropic_version': 'bedrock-2023-05-31',\n            'max_tokens': max_tokens,\n            'messages': [\n                {'role': 'user', 'content': prompt}\n            ]\n        })\n    )\n\n    result = json.loads(response['body'].read())\n    return result['content'][0]['text']\n\n# Usage\nresponse = invoke_claude('What is Amazon S3?')\nprint(response)\n```\n\n### Streaming Response\n\n```python\nimport boto3\nimport json\n\nbedrock = boto3.client('bedrock-runtime')\n\ndef stream_claude(prompt):\n    response = bedrock.invoke_model_with_response_stream(\n        modelId='anthropic.claude-3-sonnet-20240229-v1:0',\n        contentType='application/json',\n        accept='application/json',\n        body=json.dumps({\n            'anthropic_version': 'bedrock-2023-05-31',\n            'max_tokens': 1024,\n            'messages': [\n                {'role': 'user', 'content': prompt}\n            ]\n        })\n    )\n\n    for event in response['body']:\n        chunk = json.loads(event['chunk']['bytes'])\n        if chunk['type'] == 'content_block_delta':\n            yield chunk['delta'].get('text', '')\n\n# Usage\nfor text in stream_claude('Write a haiku about cloud computing.'):\n    print(text, end='', flush=True)\n```\n\n### Generate Embeddings\n\n```python\nimport boto3\nimport json\n\nbedrock = boto3.client('bedrock-runtime')\n\ndef get_embedding(text):\n    response = bedrock.invoke_model(\n        modelId='amazon.titan-embed-text-v2:0',\n        contentType='application/json',\n        accept='application/json',\n        body=json.dumps({\n            'inputText': text,\n            'dimensions': 1024,\n            'normalize': True\n        })\n    )\n\n    result = json.loads(response['body'].read())\n    return result['embedding']\n\n# Usage\nembedding = get_embedding('AWS Lambda is a serverless compute service.')\nprint(f'Embedding dimension: {len(embedding)}')\n```\n\n### Conversation with History\n\n```python\nimport boto3\nimport json\n\nbedrock = boto3.client('bedrock-runtime')\n\nclass Conversation:\n    def __init__(self, system_prompt=None):\n        self.messages = []\n        self.system = system_prompt\n\n    def chat(self, user_message):\n        self.messages.append({\n            'role': 'user',\n            'content': user_message\n        })\n\n        body = {\n            'anthropic_version': 'bedrock-2023-05-31',\n            'max_tokens': 1024,\n            'messages': self.messages\n        }\n\n        if self.system:\n            body['system'] = self.system\n\n        response = bedrock.invoke_model(\n            modelId='anthropic.claude-3-sonnet-20240229-v1:0',\n            contentType='application/json',\n            accept='application/json',\n            body=json.dumps(body)\n        )\n\n        result = json.loads(response['body'].read())\n        assistant_message = result['content'][0]['text']\n\n        self.messages.append({\n            'role': 'assistant',\n            'content': assistant_message\n        })\n\n        return assistant_message\n\n# Usage\nconv = Conversation(system_prompt='You are an AWS solutions architect.')\nprint(conv.chat('What database should I use for a chat application?'))\nprint(conv.chat('What about for time-series data?'))\n```\n\n### List Available Models\n\n```bash\n# List all foundation models\naws bedrock list-foundation-models \\\n  --query 'modelSummaries[*].[modelId,modelName,providerName]' \\\n  --output table\n\n# Filter by provider\naws bedrock list-foundation-models \\\n  --by-provider anthropic \\\n  --query 'modelSummaries[*].modelId'\n\n# Get model details\naws bedrock get-foundation-model \\\n  --model-identifier anthropic.claude-3-sonnet-20240229-v1:0\n```\n\n### Request Model Access\n\n```bash\n# List model access status\naws bedrock list-foundation-model-agreement-offers \\\n  --model-id anthropic.claude-3-sonnet-20240229-v1:0\n```\n\n## CLI Reference\n\n### Bedrock (Control Plane)\n\n| Command | Description |\n|---------|-------------|\n| `aws bedrock list-foundation-models` | List available models |\n| `aws bedrock get-foundation-model` | Get model details |\n| `aws bedrock list-custom-models` | List fine-tuned models |\n| `aws bedrock create-model-customization-job` | Start fine-tuning |\n| `aws bedrock list-provisioned-model-throughputs` | List provisioned capacity |\n\n### Bedrock Runtime (Data Plane)\n\n| Command | Description |\n|---------|-------------|\n| `aws bedrock-runtime invoke-model` | Invoke model synchronously |\n| `aws bedrock-runtime invoke-model-with-response-stream` | Invoke with streaming |\n| `aws bedrock-runtime converse` | Multi-turn conversation API |\n| `aws bedrock-runtime converse-stream` | Streaming conversation |\n\n### Bedrock Agent Runtime\n\n| Command | Description |\n|---------|-------------|\n| `aws bedrock-agent-runtime invoke-agent` | Invoke a Bedrock agent |\n| `aws bedrock-agent-runtime retrieve` | Query knowledge base |\n| `aws bedrock-agent-runtime retrieve-and-generate` | RAG query |\n\n## Best Practices\n\n### Cost Optimization\n\n- **Use appropriate models**: Smaller models for simple tasks\n- **Set max_tokens**: Limit output length when possible\n- **Cache responses**: For repeated identical queries\n- **Batch when possible**: Use batch inference for bulk processing\n- **Monitor usage**: Set up CloudWatch alarms for cost\n\n### Performance\n\n- **Use streaming**: For better user experience with long outputs\n- **Connection pooling**: Reuse boto3 clients\n- **Regional deployment**: Use closest region to reduce latency\n- **Provisioned throughput**: For consistent high-volume workloads\n\n### Security\n\n- **Least privilege IAM**: Only grant needed model access\n- **VPC endpoints**: Keep traffic private\n- **Guardrails**: Implement content filtering\n- **Audit with CloudTrail**: Track model invocations\n\n### IAM Permissions\n\n```json\n{\n  \"Version\": \"2012-10-17\",\n  \"Statement\": [\n    {\n      \"Effect\": \"Allow\",\n      \"Action\": [\n        \"bedrock:InvokeModel\",\n        \"bedrock:InvokeModelWithResponseStream\"\n      ],\n      \"Resource\": [\n        \"arn:aws:bedrock:us-east-1::foundation-model/anthropic.claude-3-sonnet-20240229-v1:0\",\n        \"arn:aws:bedrock:us-east-1::foundation-model/amazon.titan-embed-text-v2:0\"\n      ]\n    }\n  ]\n}\n```\n\n## Troubleshooting\n\n### AccessDeniedException\n\n**Causes:**\n- Model access not enabled in console\n- IAM policy missing `bedrock:InvokeModel`\n- Wrong model ID or region\n\n**Debug:**\n\n```bash\n# Check model access status\naws bedrock list-foundation-models \\\n  --query 'modelSummaries[?modelId==`anthropic.claude-3-sonnet-20240229-v1:0`]'\n\n# Test IAM permissions\naws iam simulate-principal-policy \\\n  --policy-source-arn arn:aws:iam::123456789012:role/my-role \\\n  --action-names bedrock:InvokeModel \\\n  --resource-arns \"arn:aws:bedrock:us-east-1::foundation-model/anthropic.claude-3-sonnet-20240229-v1:0\"\n```\n\n### ModelNotReadyException\n\n**Cause:** Model is still being provisioned or temporarily unavailable.\n\n**Solution:** Implement retry with exponential backoff:\n\n```python\nimport time\nfrom botocore.exceptions import ClientError\n\ndef invoke_with_retry(bedrock, body, max_retries=3):\n    for attempt in range(max_retries):\n        try:\n            return bedrock.invoke_model(\n                modelId='anthropic.claude-3-sonnet-20240229-v1:0',\n                body=json.dumps(body)\n            )\n        except ClientError as e:\n            if e.response['Error']['Code'] == 'ModelNotReadyException':\n                time.sleep(2 ** attempt)\n            else:\n                raise\n    raise Exception('Max retries exceeded')\n```\n\n### ThrottlingException\n\n**Causes:**\n- Exceeded on-demand quota\n- Too many concurrent requests\n\n**Solutions:**\n- Request quota increase\n- Implement exponential backoff\n- Consider provisioned throughput\n\n### ValidationException\n\n**Common issues:**\n- Invalid model ID\n- Malformed request body\n- max_tokens exceeds model limit\n\n**Debug:**\n\n```python\n# Check model-specific requirements\naws bedrock get-foundation-model \\\n  --model-identifier anthropic.claude-3-sonnet-20240229-v1:0 \\\n  --query 'modelDetails.inferenceTypesSupported'\n```\n\n## References\n\n- [Bedrock User Guide](https://docs.aws.amazon.com/bedrock/latest/userguide/)\n- [Bedrock API Reference](https://docs.aws.amazon.com/bedrock/latest/APIReference/)\n- [Bedrock Runtime API](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_Operations_Amazon_Bedrock_Runtime.html)\n- [Model Parameters](https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html)\n- [Bedrock Pricing](https://aws.amazon.com/bedrock/pricing/)\n","tagline":"AWS Bedrock foundation models for generative 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risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":77,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":77,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":86,"weight":0.13,"status":"pass","detail":"1.1K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":83,"weight":0.08,"status":"pass","detail":"1.1K stars, 444 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent 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credential or environment access"},{"status":"pass","label":"Install availability","detail":"npx skills add itsmostafa/aws-agent-skills --skill bedrock"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"secrets or environment access, shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/bedrock"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is 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Useful for discovery, but not for autonomous installation.","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate bedrock before installing it in an agent workflow","design-creative","Design and creative workflows; Claude Code teams; teams that value GitHub adoption signals"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add itsmostafa/aws-agent-skills --skill bedrock"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add itsmostafa/aws-agent-skills --skill bedrock"]},{"id":"trust_score","label":"Trust score","status":"warn","score":77,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","1.1K GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":82,"required_for_auto_install":true,"detail":"Needs review","evidence":["Dependency or permission surface needs review"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":42,"required_for_auto_install":true,"detail":"Sparse or mixed signals. 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Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.","category":"design-creative","url":"https://www.openagentskill.com/skills/itsmostafa-bedrock","repository":"https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/bedrock","github_repo":"itsmostafa/aws-agent-skills"},"suited_tasks":["Design and creative workflows","Claude Code teams","teams that value GitHub adoption signals","Inspect visual requirements","Generate reusable assets","Package output for review","Inspect source files","Explain architecture"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add itsmostafa/aws-agent-skills --skill bedrock","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add itsmostafa-bedrock"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"bedrock\" agent skill from https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/bedrock. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"itsmostafa-bedrock\",\"task\":\"Install bedrock\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"bedrock\" as a Claude Code skill from https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/bedrock. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"itsmostafa-bedrock\",\"task\":\"Install bedrock\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"bedrock\" from https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/bedrock into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"itsmostafa-bedrock\",\"task\":\"Install bedrock\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/itsmostafa-bedrock/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/itsmostafa-bedrock"},"trust":{"score":77,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"1.1K GitHub stars","repoActivity":"1.1K stars, 444 forks","lastPushed":"7d since push","license":"MIT","repository":"https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/bedrock","install":"npx skills add itsmostafa/aws-agent-skills --skill bedrock","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","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,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"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":"Human review or sandbox validation is required before automatic installation."},"best_for":["design-creative","agent-skill"],"known_risks":["Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":82,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":77,"label":"Strong"},"supply":{"track":"Coding and developer agents","scenario":"Coding agents","maintenance":"7d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution"],"agent_contract":{"task_input":"Use bedrock in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 77/100 Strong shortlist","Audit: 82/100 Needs review","Safety: 42/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"itsmostafa-bedrock (bedrock)","install_command":"npx skills add itsmostafa/aws-agent-skills --skill bedrock","risk_summary":"Needs review; Experimental; 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":"itsmostafa-bedrock","task":"Use bedrock 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/itsmostafa-bedrock","api":"https://www.openagentskill.com/api/agent/skills/itsmostafa-bedrock","audit":"https://www.openagentskill.com/skills/itsmostafa-bedrock/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=itsmostafa-bedrock&task=Use%20bedrock%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20bedrock%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20bedrock%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/itsmostafa-bedrock/install","manifest":"https://www.openagentskill.com/api/registry/manifest/itsmostafa-bedrock"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"itsmostafa-bedrock","name":"bedrock","description":"AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.","category":"design-creative","url":"https://www.openagentskill.com/skills/itsmostafa-bedrock","repository":"https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/bedrock","github_repo":"itsmostafa/aws-agent-skills"},"suited_tasks":["Design and creative workflows","Claude Code teams","teams that value GitHub adoption signals","Inspect visual requirements","Generate reusable assets","Package output for review","Inspect source files","Explain architecture"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add itsmostafa/aws-agent-skills --skill bedrock","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add itsmostafa-bedrock"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"bedrock\" agent skill from https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/bedrock. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"itsmostafa-bedrock\",\"task\":\"Install bedrock\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"bedrock\" as a Claude Code skill from https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/bedrock. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"itsmostafa-bedrock\",\"task\":\"Install bedrock\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"bedrock\" from https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/bedrock into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"itsmostafa-bedrock\",\"task\":\"Install bedrock\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/itsmostafa-bedrock/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/itsmostafa-bedrock"},"trust":{"score":77,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"1.1K GitHub stars","repoActivity":"1.1K stars, 444 forks","lastPushed":"7d since push","license":"MIT","repository":"https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/bedrock","install":"npx skills add itsmostafa/aws-agent-skills --skill bedrock","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","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,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"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":"Human review or sandbox validation is required before automatic installation."},"best_for":["design-creative","agent-skill"],"known_risks":["Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":82,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":77,"label":"Strong"},"supply":{"track":"Coding and developer agents","scenario":"Coding agents","maintenance":"7d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution"],"agent_contract":{"task_input":"Use bedrock in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 77/100 Strong shortlist","Audit: 82/100 Needs review","Safety: 42/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"itsmostafa-bedrock (bedrock)","install_command":"npx skills add itsmostafa/aws-agent-skills --skill bedrock","risk_summary":"Needs review; Experimental; 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":"itsmostafa-bedrock","task":"Use bedrock 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/itsmostafa-bedrock","api":"https://www.openagentskill.com/api/agent/skills/itsmostafa-bedrock","audit":"https://www.openagentskill.com/skills/itsmostafa-bedrock/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=itsmostafa-bedrock&task=Use%20bedrock%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20bedrock%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20bedrock%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/itsmostafa-bedrock/install","manifest":"https://www.openagentskill.com/api/registry/manifest/itsmostafa-bedrock"}},"supply_profile":{"track":{"slug":"coding","label":"Coding and developer agents","shortLabel":"Coding","description":"Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills."},"scenario":{"label":"Coding agents","description":"I need a coding agent that can understand a repository, edit code, and review pull requests.","useCases":[{"slug":"design-creative","title":"Design and creative"},{"slug":"coding-agents","title":"Coding agents"},{"slug":"rag-knowledge","title":"RAG and knowledge"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add itsmostafa/aws-agent-skills --skill bedrock","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":1150,"starsLabel":"1.1K","forks":444,"license":"MIT","qualityScore":77,"trustScore":77,"auditScore":82},"maintenance":{"status":"fresh","label":"7d since push","daysSincePush":7,"lastPushedAt":"2026-08-31T16:35:38+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access"]},"coverageTags":["Coding","Coding agents","design-creative","agent-skill"]},"audit":{"audit_score":82,"risk_level":"needs_review","risk_label":"Needs review","quality_score":77,"trust_score":77,"maintenance_score":100,"security_score":76,"install_score":92,"warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"quality_signals":{"model":"v2","star_score":21.43,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"design-creative","title":"Design and creative","url":"https://www.openagentskill.com/use-cases/design-creative"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"}],"stacks":[{"slug":"frontend-product-ui","title":"Frontend and UI","url":"https://www.openagentskill.com/collections/frontend-product-ui"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"}],"install":"npx skills add itsmostafa/aws-agent-skills --skill bedrock","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add itsmostafa-bedrock","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"bedrock\" agent skill from https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/bedrock. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"itsmostafa-bedrock\",\"task\":\"Install bedrock\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"bedrock\" as a Claude Code skill from https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/bedrock. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"itsmostafa-bedrock\",\"task\":\"Install bedrock\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"bedrock\" from https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/bedrock into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"itsmostafa-bedrock\",\"task\":\"Install bedrock\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/bedrock","github_repo":"itsmostafa/aws-agent-skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/itsmostafa-bedrock","repository":"https://github.com/itsmostafa/aws-agent-skills/tree/main/skills/bedrock","api":"/api/agent/skills/itsmostafa-bedrock","install_api":"/api/skills/itsmostafa-bedrock/install"},"meta":{"created_at":"2026-09-02T11:42:17.780491+00:00","updated_at":"2026-09-02T11:42:18.04869+00:00","agent_friendly":true}}