Apply Fireflies.ai security best practices for API keys and webhook verification. Use when securing API keys, verifying webhook signatures, or auditing Fireflies.ai security configuration. Trigger with phrases like "fireflies security", "fireflies secrets", "secure fireflies", "fireflies webhook signature", "fireflies HMAC".
80
77%
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/saas-packs/fireflies-pack/skills/fireflies-security-basics/SKILL.mdQuality
Discovery
89%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 is a well-structured skill description with strong completeness and distinctiveness. It explicitly addresses both what the skill does and when to use it, with good trigger term coverage specific to Fireflies.ai security. The main weakness is that the specific capabilities could be more concrete—listing exact actions like 'rotate API keys', 'validate HMAC-SHA256 signatures', or 'store secrets in environment variables' would strengthen specificity.
Suggestions
Add more concrete actions to improve specificity, e.g., 'rotate API keys, validate HMAC-SHA256 webhook signatures, store secrets in environment variables, audit token permissions'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Fireflies.ai security) and some actions (securing API keys, verifying webhook signatures, auditing security configuration), but the actions are somewhat general and not deeply concrete—e.g., it doesn't specify what 'best practices' entail like rotation, environment variable storage, etc. | 2 / 3 |
Completeness | Clearly answers both 'what' (apply security best practices for API keys and webhook verification) and 'when' (explicit 'Use when' clause with specific triggers, plus a 'Trigger with phrases like' section). Both dimensions are explicitly addressed. | 3 / 3 |
Trigger Term Quality | Includes a strong set of natural trigger terms: 'fireflies security', 'fireflies secrets', 'secure fireflies', 'fireflies webhook signature', 'fireflies HMAC'. These cover multiple natural phrasings a user might use and include both general and technical variations. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive due to the narrow niche of Fireflies.ai-specific security practices. The combination of 'Fireflies.ai' with security-specific terms like 'HMAC', 'webhook signature', and 'API keys' makes it very unlikely to conflict with other skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid, actionable security skill with executable code examples in multiple languages and a useful security checklist. Its main weaknesses are moderate verbosity (dual language implementations inline, restated output section) and a workflow structure that reads more as a topic catalog than a validated sequential process. The content would benefit from tighter organization and explicit validation checkpoints in the key rotation flow.
Suggestions
Add an explicit validation/verification step after key rotation (e.g., 'Confirm production health by hitting a test endpoint with the new key before considering rotation complete') to strengthen the feedback loop.
Move one of the language implementations (TypeScript or Python) to a separate referenced file to reduce inline bulk and improve progressive disclosure.
Remove the 'Output' section which merely restates what was already covered, and trim the 'Prerequisites' to only non-obvious items.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient with executable code and tables, but includes some unnecessary elements: the 'Prerequisites' section stating 'Understanding of environment variables' is obvious for Claude, the 'Output' section restates what was already covered, and providing both TypeScript and Python implementations adds bulk. The privacy levels table and error handling table are useful but the overall document could be tightened. | 2 / 3 |
Actionability | The skill provides fully executable code in both TypeScript and Python for webhook verification, concrete bash commands for key rotation testing, a working pre-commit hook, and specific GraphQL mutations for privacy settings. All code is copy-paste ready with real header names, endpoints, and patterns. | 3 / 3 |
Workflow Clarity | Steps are clearly numbered and sequenced, and the security checklist provides a good summary. However, the key rotation workflow (Step 6) lacks explicit validation checkpoints — step 5 claims old keys are 'automatically invalidated' but doesn't include a verification step to confirm production is working with the new key before proceeding. The overall flow from Steps 1-6 is more of a topic list than a true sequential workflow with feedback loops. | 2 / 3 |
Progressive Disclosure | The content is well-structured with clear headers and tables, but it's a fairly long monolithic document (~150 lines of content) that could benefit from splitting the TypeScript and Python implementations or the privacy/audit sections into separate referenced files. The reference to 'fireflies-prod-checklist' in Next Steps is good but the main body carries too much inline detail for a single SKILL.md. | 2 / 3 |
Total | 9 / 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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