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Repair GitHub OIDC Cloud Role Audience Mismatch
Trace GitHub Actions OIDC claim and cloud trust policy mismatches without exposing credentials.
$1
Repair GitHub OIDC Cloud Role Audience Mismatch
Example session with this skill installed
A release workflow loses access to cloud deployments after environment names are renamed.
Available evidence: workflow token claim metadata and cloud trust policy definitions (partial extracts only). Additional sources requested: runner job context and denied role assumption logs. Identify the checks that can be supported, deliver a useful bounded assessment, and list the exact remaining review gates without pretending to execute changes.
- Read your context and instructions
- Compiled the repair github oidc
Repair GitHub OIDC Cloud Role Audience Mismatch — EVIDENCE-LIMITED REVIEW
Scenario received
A release workflow loses access to cloud deployments after environment names are renamed.
Evidence inventory
- S1: workflow token claim metadata — partial extract described by the requester; original full source not provided here.
- S2: cloud trust policy definitions — partial extract described by the requester; original full source not provided here.
- S3: runner job context — NOT PROVIDED; required to validate dependent findings.
- S4: denied role assumption logs — NOT PROVIDED; required to validate dependent findings.
Case-specific checks
Compare audience and subject predicates. INCOMPLETE until matching source anchors can be examined; document the observable facts, counterexamples and decision gate.
2.
Inspect environment scoped claims. INCOMPLETE until matching source anchors can be examined; document the observable facts, counterexamples and decision gate.
3.
Identify trust policy overbreadth. INCOMPLETE until matching source anchors can be examined; document the observable facts, counterexamples and decision gate.
4.
Test least privilege role assumptions. INCOMPLETE until matching source anchors can be examined; document the observable facts, counterexamples and decision gate.
Deliverables
Claim mismatch analysis. Create an evidence-linked section with observations, missing data, owner and next validation step.
Minimal trust correction. Create an evidence-linked section with observations, missing data, owner and next validation step.
Negative authorization test plan. Create an evidence-linked section with observations, missing data, owner and next validation step.
Acceptance gate
The correction restores only intended identities and never broadens trust to arbitrary repositories. Do not label this gate passed until supplied source records actually demonstrate it.
Verdict and next action
INCOMPLETE — evidence required. Request S3 and S4 from the authorized owner, reconcile them with S1 and S2, then repeat the four checks and log remaining conflicts. No production change, approval, communication, or test run is claimed.
Connects securely to your tools. The creator never sees your data.
About this skill
Repair GitHub OIDC Cloud Role Audience Mismatch is a ToolForge Labs Cursor Skill workflow for CI cloud identity. Trace GitHub Actions OIDC claim and cloud trust policy mismatches without exposing credentials.
What the skill checks
- Compare audience and subject predicates.
- Inspect environment scoped claims.
- Identify trust policy overbreadth.
- Test least privilege role assumptions.
Input evidence
- workflow token claim metadata.
- cloud trust policy definitions.
- runner job context.
- denied role assumption logs.
Deliverables
- Claim mismatch analysis.
- Minimal trust correction.
- Negative authorization test plan.
Evidence policy Works from the files and facts the buyer actually provides. Records unknowns, inconsistencies, and approval gates; never claims tests, system access, approvals, or external actions that have not occurred. The supplied skill ZIP contains six complementary source files with workflows, contracts, tests, and a synthetic example.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse All Claude Skills.
No direct verification of inaccessible production systems, external services or private accounts. Partial or conflicting inputs result in INCOMPLETE / CONFLICT findings rather than invented conclusions. Domain-sensitive decisions require qualified owner review.
How to use
- 1
Connect your agent to the Agensi MCP
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- 2
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- 3
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Permissions
Provide only materials you are authorized to share. Use a reviewed environment for proposed changes; keep deployment, production modifications, and third-party communication under explicit human approval.