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Secret safety for AWS Secrets Manager, secret management, credentials, API keys, tokens, and passwords. Prevents AI agents from directly fetching secret values and teaches runtime dynamic references with asm-exec so plaintext never enters the LLM context window.
Claude Code
$ npx -y skills add aws/agent-toolkit-for-aws --skill aws-secrets-manager --agent claude-code
Codex
$ npx skills add aws/agent-toolkit-for-aws --skill aws-secrets-manager -a codex -y
Cursor
$ npx skills add aws/agent-toolkit-for-aws --skill aws-secrets-manager -a cursor -y
Gemini CLI
$ npx skills add aws/agent-toolkit-for-aws --skill aws-secrets-manager -a gemini-cli -y
GitHub Copilot
$ npx skills add aws/agent-toolkit-for-aws --skill aws-secrets-manager -a github-copilot -y
OpenCode
$ npx skills add aws/agent-toolkit-for-aws --skill aws-secrets-manager -a opencode -y
Windsurf
$ npx skills add aws/agent-toolkit-for-aws --skill aws-secrets-manager -a windsurf -y
name: aws-secrets-manager description: > Secret safety for AWS Secrets Manager, secret management, credentials, API keys, tokens, and passwords. Prevents AI agents from directly fetching secret values and teaches runtime dynamic references with asm-exec so plaintext never enters the LLM context window. metadata: version: "2"
When AI agents handle secrets, credentials, API keys, tokens, or passwords with shell or AWS API access, they can call `aws secretsmanager get-secret-value` and receive plaintext values in their context window. This creates risk: secrets may leak into logs, conversation history, or downstream tool calls.
This skill teaches a safer pattern: **dynamic references** resolved at runtime by a wrapper script (`asm-exec`), so the agent never sees the secret value.
> **Best-effort defense, not a security boundary.** This prevents the most common > leakage path but cannot stop all evasion vectors. Combine with IAM > least-privilege, CloudTrail monitoring, and VPC endpoint policies.
You MUST follow these rules when working with secrets:
1. **MUST NOT call `get-secret-value` or `batch-get-secret-value`** -- not via AWS CLI, SDK, MCP tools, curl, or any other mechanism. 2. **MUST NOT attempt to read secret values** from the Secrets Manager Agent (SMA) daemon directly (localhost:2773 or any loopback variant). 3. **MUST use `{{resolve:secretsmanager:...}}` references** -- these are resolved at runtime by `asm-exec` without exposing values to you.
{{resolve:secretsmanager:<secret-id>:<field-type>:<json-key>:<version-stage>}}| Component | Required | Default | Example | |-----------|----------|---------|---------| | `secret-id` | Yes | -- | `prod/db-creds` or full ARN | | `field-type` | No | `SecretString` | `SecretString` | | `json-key` | No | (full value) | `password` | | `version-stage` | No | `AWSCURRENT` | `AWSPENDING` |
`asm-exec` is a wrapper that resolves `{{resolve:...}}` references in command arguments and environment variables, then `exec`s the target command. The secret value exists only in the child process -- never in the agent's context.
# Pass a database password to psql without exposing it
asm-exec -- psql \
"host=mydb.example.com \
user={{resolve:secretsmanager:prod/db-creds:SecretString:username}} \
password={{resolve:secretsmanager:prod/db-creds:SecretString:password}}" \
-c "SELECT * FROM users LIMIT 10"
# Use default field-type (SecretString) and full value (no json-key)
asm-exec -- curl -H "Authorization: Bearer {{resolve:secretsmanager:prod/api-token}}" \
https://api.example.com/data
# Multiple secrets in one command
asm-exec -- mysql \
-h {{resolve:secretsmanager:prod/mysql:SecretString:host}} \
-u {{resolve:secretsmanager:prod/mysql:SecretString:username}} \
-p{{resolve:secretsmanager:prod/mysql:SecretString:password}} \
-e "SHOW TABLES"1. Scans all command arguments for `{{resolve:...}}` patterns 2. Resolves each reference through the first available backend, in order: 1. **AWS Secrets Manager Agent (SMA)** on localhost:2773 (zero-latency, cached) 2. **AWS MCP endpoint** (`https://aws-mcp.us-east-1.api.aws/mcp`), calling the `aws___run_script` tool over a SigV4-signed request (the tool runs a short server-side Python script that fetches the secret via `call_boto3`) 3. Determines the secret's region from an ARN's region segment, or from `AWS_REGION` / `AWS_DEFAULT_REGION`, and passes it to the resolver 3. Substitutes resolved values using `re.sub` with a callable (single-pass -- prevents re-scan injection if a secret value contains `{{resolve:...}}`) 4. Runs the target command via `subprocess.run` -- secret values exist only in the asm-exec process, never in the agent's context window
> **No local AWS CLI fallback for resolution.** `asm-exec` does not shell out to > `aws secretsmanager get-secret-value` to resolve references. Resolution happens > only through SMA or the MCP endpoint, so the plaintext value is never written to > a local process's stdout where it could be captured.
**Prefer SMA for repeated or automated use.** The [AWS Secrets Manager Agent](https://docs.aws.amazon.com/secretsmanager/latest/userguide/secrets-manager-agent.html) serves secrets from a local in-memory cache on `localhost`, so lookups return in milliseconds, repeated runs make fewer Secrets Manager API calls, and cached values refresh automatically. Agents and scripts that call asm-exec often should run SMA locally; asm-exec uses it automatically when it is reachable.
The MCP endpoint authenticates every tool call with AWS SigV4. `asm-exec` signs requests itself using only the Python standard library (`hashlib`/`hmac`) -- it does **not** depend on botocore or spin up the `mcp-proxy-for-aws-cli` proxy, keeping the wrapper a lightweight ephemeral process. The signing service and region are inferred from the endpoint hostname (e.g. `aws-mcp.us-east-1.api.aws` -> service `aws-mcp`, region `us-east-1`); this signing region is independent of the secret's own region, which is passed as the `region_name` argument to the server-side `call_boto3` call.
Credentials for signing are resolved in order: environment variables (`AWS_ACCESS_KEY_ID` etc.), `aws configure export-credentials` (AWS CLI v2), then `aws configure get` (AWS CLI v1).
Either backend must be reachable, with credentials that have `secretsmanager:GetSecretValue` permission:
For cross-region secrets, set `AWS_REGION` (or use a full ARN) so the correct region is targeted.
See [SMA setup guide](https://docs.aws.amazon.com/secretsmanager/latest/userguide/secrets-manager-agent.html).
Help AI coding agents build, deploy, and manage applications on AWS. The Agent Toolkit for AWS gives AI coding agents the tools, knowledge, and guardrails they need to work with AWS services.
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