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What belongs in each artifact?
Extraction is useful for facts the chosen source model can actually reveal. A generator can catalog key names, declared types, and source locations such as file and line. Those are the kinds of fields described in the indexed result for the exact-title article; its underlying page was not available to verify a specific implementation. Keep the generator’s output limited to facts it can support.
Generated catalog
- Configuration key or field name.
- Declared type, when explicit in the schema or source.
- Source location and the source revision used to generate the catalog.
Generated output is only as complete and accurate as its source model and parser. Dynamic key construction, environment-dependent registration, or settings supplied outside the parsed files may not appear. Document supported syntax and languages, and state what the extractor cannot see.
Operator-owned constraints
Put claims requiring runtime, deployment, security, or operational judgment in a separate file owned by reviewers. Examples include whether a value is sensitive, what default actually takes effect, and whether a change needs a restart or can be reloaded. These are examples of claims that may require investigation; they are not universal properties of configuration keys.
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Do not infer sensitivity from a name such as password, or an effective default from a syntax-level declaration. Configuration precedence and secret handling vary by product. For example, the Operator guide describes a product-specific setup where later configuration sources override earlier ones and configuration stores environment-variable names rather than third-party secret values (Operator configuration and security guide).
How should rendering and publication work?
- Choose the authoritative extraction source. Prefer a runtime schema or typed settings declaration when it captures the keys the application actually accepts. Source parsing or a hand-maintained catalog may be appropriate where no schema exists, but define their limits. Open Policy Agent documents JSON or YAML configuration fields that can serve as a structured example; that does not make OPA a universal extractor (OPA configuration documentation).
- Generate the catalog reproducibly. Record the source revision and generator version where possible. Review changes to generated entries as evidence of source changes, not as approval of operational meaning.
- Maintain constraints independently. Give each constraint a key, claim, reviewer or signing identity, and review context. Define whether a constraint is mandatory and what happens when it no longer matches a current key.
- Join the artifacts during rendering. Match constraints to generated keys by an unambiguous identifier. Set explicit outcomes for duplicate keys, stale constraints, unknown constraints, missing entries, and malformed data rather than silently dropping them.
- Verify identity, signature, and policy before publishing. Fail visibly when a required key lacks review metadata or the signature is invalid. Also define what happens if the trust configuration is absent or unavailable. The original indexed article description proposes rejecting unsigned keys, but it does not specify these additional cases.
What does the signature prove?
A signature can establish that particular content has not changed since signing and that it was endorsed under an identity or key accepted by the configured trust policy. It does not establish that a claim—such as “requires restart” or “contains a secret”—matches actual production behavior.
Open Policy Agent’s CLI documentation says its opa sign command creates a .signatures.json file containing file names and SHA hashes checked against bundle contents during verification; its documentation also describes a JWT encapsulating the signature and RS256 as the default signing algorithm (OPA CLI signing reference). This protects and verifies bundle contents; it is not a semantic review of whether a constraint is correct.
Sigstore’s policy-controller documentation distinguishes verifying that an attestation has a trusted signer from optionally evaluating its contents against policy (Sigstore policy-controller documentation). These are separate checks: who signed the content, and whether the signed claim satisfies a rule. Neither substitutes for validating the claim against runtime and deployment behavior.
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Define the trust and failure policy
Before relying on signed constraints, specify which identities or keys are trusted, how they are provisioned and rotated, and which changes invalidate a signature. A production workflow should retain enough context to trace a published result to its source revision, generated catalog, reviewer identity, and verification outcome where the implementation supports it.
- Missing required signature: block publication and identify the key that needs review.
- Invalid or untrusted signature: block publication; do not downgrade verification failures to warnings.
- Stale or unknown constraint: choose a documented rejection or review path so outdated claims cannot disappear unnoticed.
- Unavailable trust configuration: fail closed for publication unless an explicitly approved alternative is defined.
The exact-title result describes rejection for unsigned keys but does not establish a parser, file format, signing tool, CI system, or deployment practice. Those are design decisions for the implementation, not properties to assume from the article title.
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Implementation choices to settle
| Decision | Questions to answer |
|---|---|
| Extraction source | Does a runtime schema, typed declaration, or parser cover the accepted configuration syntax? How are dynamically defined keys handled? |
| Claim ownership | Which fields are mechanically visible, and which require an operator to verify behavior, defaults, sensitivity, or restart effects? |
| Signature and policy | Which signer identities are trusted? Is verification limited to integrity and signer identity, or does a separate policy evaluate the signed claim? |
| Merge behavior | What happens for missing, duplicate, stale, unknown, malformed, or invalidly signed entries? |
| Operational context | How are precedence, secret indirection, and reload behavior represented based on the actual product’s documented behavior? |
| Traceability | Can the published output retain the source revision, generated artifact version, reviewer identity, and signature-verification result? |
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