Manage this skill enables AI assistant to seamlessly integrate with various secrets managers like hashicorp vault and aws secrets manager. it generates configurations and setup code, ensuring best practices for secure credential management. use this skill when... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
32
28%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/devops/secrets-manager-integrator/skills/integrating-secrets-managers/SKILL.mdQuality
Discovery
22%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This description suffers from placeholder boilerplate in its trigger/when clause ('Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.'), which renders it nearly useless for skill selection. It also uses first/third person inconsistently ('enables AI assistant') and includes buzzwords like 'seamlessly integrate' and 'ensuring best practices.' The specific tool names (HashiCorp Vault, AWS Secrets Manager) are the only redeeming elements.
Suggestions
Replace the placeholder 'Use when appropriate context detected' with explicit trigger conditions, e.g., 'Use when the user asks about storing secrets, configuring HashiCorp Vault, AWS Secrets Manager, managing API keys, rotating credentials, or setting up .env files.'
Remove buzzwords like 'seamlessly integrate' and 'ensuring best practices' and replace with concrete actions, e.g., 'Generates Vault policies, creates AWS Secrets Manager CloudFormation templates, writes secret retrieval code in Python/Node.js.'
Fix the voice to consistent third person and remove 'Manage this skill enables AI assistant to' — start directly with what the skill does, e.g., 'Configures and generates setup code for secrets managers including HashiCorp Vault and AWS Secrets Manager.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description mentions 'hashicorp vault and aws secrets manager' and 'generates configurations and setup code' which names a domain and some actions, but the language is largely vague with phrases like 'seamlessly integrate' and 'ensuring best practices' which are buzzwords. The 'Use when appropriate context detected' and 'Trigger with relevant phrases based on skill purpose' are completely meaningless filler that add no specificity. | 1 / 3 |
Completeness | While there is a partial 'what' (integrate with secrets managers, generate configurations), the 'when' clause is entirely placeholder text: 'Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.' This is effectively a missing 'when' clause, which per the rubric should cap completeness at 2, but since the 'when' is actively meaningless boilerplate rather than just missing, it warrants a 1. | 1 / 3 |
Trigger Term Quality | It includes some relevant keywords like 'hashicorp vault', 'aws secrets manager', 'secrets managers', and 'credential management' that users might naturally mention. However, it misses common variations like 'env variables', 'API keys', 'tokens', '.env files', 'secret rotation', or 'vault' alone. | 2 / 3 |
Distinctiveness Conflict Risk | The mention of specific tools like 'hashicorp vault' and 'aws secrets manager' provides some distinctiveness, but the broad framing around 'secrets managers' and 'secure credential management' could overlap with general DevOps, security, or cloud infrastructure skills. | 2 / 3 |
Total | 6 / 12 Passed |
Implementation
35%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a broad architectural overview of secrets manager integration but critically lacks actionable, executable content — no code snippets, no configuration examples, no concrete policy definitions. For a skill that promises to 'generate configurations and setup code,' the absence of any actual code or configuration templates is a significant gap. The workflow is logically sequenced but missing validation checkpoints for what are inherently security-sensitive operations.
Suggestions
Add concrete, executable code examples for at least 2 platforms: e.g., a Vault HCL policy, an AWS IAM policy JSON, a Python SDK snippet for secret retrieval, and a Kubernetes SecretProviderClass manifest.
Add explicit validation checkpoints in the workflow: e.g., 'Verify secret access with `vault kv get secret/path` before proceeding to application integration' and 'Test rotation manually before enabling automatic schedule.'
Replace the prose 'Examples' section with actual input/output examples showing a concrete scenario end-to-end (e.g., given a Kubernetes deployment needing a DB password, produce the specific Vault policy, K8s annotations, and Vault Agent config).
Consider splitting per-provider details into separate referenced files (e.g., VAULT.md, AWS_SECRETS.md, GCP_SECRETS.md) to keep the main skill lean while providing depth where needed.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is reasonably organized but includes some unnecessary verbosity, such as the prerequisites section listing things Claude would already know (e.g., 'Network connectivity between application workloads and the secrets manager endpoint') and the Examples section which just lists vague use-case descriptions rather than providing actionable content. | 2 / 3 |
Actionability | Despite covering a complex multi-platform topic, the skill provides zero executable code, no concrete configuration snippets (no HCL policies, no IAM JSON, no SDK code, no Kubernetes manifests). Every instruction is abstract and descriptive rather than copy-paste ready. The 'Examples' section contains prose descriptions of scenarios, not actual examples with inputs and outputs. | 1 / 3 |
Workflow Clarity | The 9-step workflow provides a reasonable sequence for secrets manager integration, and the error handling table adds some troubleshooting guidance. However, there are no explicit validation checkpoints or feedback loops — no step says 'verify the secret is accessible before proceeding' or 'test the rotation before removing hardcoded secrets,' which is critical for this kind of security-sensitive, potentially destructive operation. | 2 / 3 |
Progressive Disclosure | The content is structured with clear sections (Overview, Prerequisites, Instructions, Output, Error Handling, Examples, Resources) which is good. However, given the breadth of the topic (4 cloud providers, multiple auth methods, multiple integration patterns), the content would benefit from being split into per-provider detail files. The Resources section links externally but there are no bundle files to support progressive disclosure. | 2 / 3 |
Total | 7 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
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Table of Contents
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