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Store a reusable .github/prompts/*.prompt.md task prompt in a supported client. The prior failure was: A team repeatedly asks for the same risk analysis and test outline. Which observation should appear in the test record?
This observation is the required outcome: A new review invokes the prompt file and yields the same required headings. It tests the original requirement because prompt files capture task-specific instructions for intentional reuse.
This observation would make sense for the independent case "CLI first login", whose acceptance criterion is The session completes sign-in and identifies the intended account. It is not proof of the current remediation.
This observation would make sense for the independent case "CLI prompt specificity", whose acceptance criterion is The resulting diff touches only the intended package. It is not proof of the current remediation.
This observation would make sense for the independent case "Agent versus chat", whose acceptance criterion is The explanation names the warning and no tracked file is modified. It is not proof of the current remediation.
Administrative token together with Org feature policy now needs a coordinated review. The first finding is: A script updates Copilot seat assignments using an overly powerful administrator token. The second finding is: An enterprise wants to disable autonomous agent edits but retain chat assistance. Select TWO actions, one that resolves each finding.
This addresses the first finding. Administrative automation must minimize credential exposure. The verification is: The script can manage only approved seats and its token is not logged. The complementary action addresses Org feature policy.
This addresses the second finding. Availability is centrally managed and can differ by client feature. The verification is: Agent mode is unavailable to affected users while permitted Chat remains. The complementary action addresses Administrative token.
This is relevant to a different case: An administrator needs to know which members occupy licensed Copilot seats. Its capability is: Seat reporting supports subscription governance. Neither Administrative token nor Org feature policy requires that result.
This is relevant to a different case: The Copilot CLI prompts for auth but an enterprise team has disabled CLI usage. Its capability is: Organization feature policy can restrict CLI independently of subscription possession. Neither Administrative token nor Org feature policy requires that result.
This is relevant to a different case: A developer launched Copilot CLI on a new laptop and receives an authentication prompt. Its capability is: Interactive CLI access requires user authentication unless a supported BYOK path applies. Neither Administrative token nor Org feature policy requires that result.
Inspect the advertised tool schema and retry with valid parameters. The prior failure was: An agent invokes an MCP tool with outdated arguments and receives schema errors. Which observable outcome establishes that the fix works?
This is the acceptance signal tied to the issue: The tool accepts a documented shape and returns a valid result. It is causally related because mCP tools have explicit capability contracts not inferred natural-language names.
This result would validate a different action: Require explicit approval and deny production credentials. It applies when an agent inside the IDE wants to run a production database migration command, not to the failure being reviewed here. In this verification case, the decisive result is the tool accepts a documented shape and returns a valid result, not a generic indication that the tool was used.
This result would validate a different action: Check IDE extension sign-in, activation and organization policy for that environment. It applies when copilot suggestions are absent even though a developer has a valid subscription, not to the failure being reviewed here.
This result would validate a different action: Apply the patch through reviewed version control changes rather than trusting prose alone. It applies when a terminal agent returns a proposed patch as text after inspecting a module, not to the failure being reviewed here.
A well-known sorting utility is requested with precise inputs and outputs but no examples. Which proposed response is appropriate without increasing unrelated risk?
Use a clear zero-shot request and then validate the implementation. This directly addresses the stated constraint: A sufficiently specified task may not need examples. The decision can be tested by checking that the function handles sorted, reversed and duplicate inputs correctly.
Specific requirements produce testable implementations. This would help with a prompt asks to 'build an upload endpoint' without specifying file size or content type, but not the requirement whose acceptance proof is: The function handles sorted, reversed and duplicate inputs correctly.
Output constraints help downstream validation. That makes this relevant when a team needs a machine-readable report of test failures, whereas this scenario has a different controlling requirement and acceptance test. Here the controlling problem is a well-known sorting utility is requested with precise inputs and outputs but no examples, and the proposal must meet that constraint.
Few-shot examples communicate desired transformations. That makes this relevant when a domain parser must recognize a nonstandard but repeated log format, whereas this scenario has a different controlling requirement and acceptance test.
Context window limit together with Chat history drift now needs a coordinated review. The first finding is: Copilot answers a repository-wide architectural question from only the open file. The second finding is: A long Copilot chat starts following assumptions from an abandoned earlier approach. Select TWO actions, one that resolves each finding.
This addresses the second finding. Old context can distract a later prompt from revised acceptance criteria. The verification is: The resulting answer references current code and the new constraint only. The complementary action addresses Context window limit.
This addresses the first finding. Context windows and automatic selection do not guarantee whole-repository coverage. The verification is: The analysis names inspected modules and flags unexamined ones. The complementary action addresses Chat history drift.
This is relevant to a different case: A task requires a longer delegated coding workflow and pull-request proposal. Its capability is: Cloud agent work occurs in a reviewable repository workflow, not an implicit production deploy. Neither Context window limit nor Chat history drift requires that result.
This is relevant to a different case: Copilot generates Python syntax inside a TypeScript file. Its capability is: Editor language and nearby code affect context construction. Neither Context window limit nor Chat history drift requires that result.
This is relevant to a different case: A terminal agent tries to modify files outside the checked-out repository. Its capability is: CLI tool actions operate on local files and require intentional trust decisions. Neither Context window limit nor Chat history drift requires that result.
A merged company has incompatible Copilot organization policies across its GitHub organizations. Which step should the responsible reviewer require?
This intervention is proportionate to the problem. Org-level policy boundaries need explicit reconciliation. Its acceptance evidence is that users in both organizations receive the intended policy set after approval.
This is a reasonable intervention for the separate case "Editor policy block". Its value is enterprise policy can disable a surface independently from other Copilot capabilities, not resolving the current requirement.
This is a reasonable intervention for the separate case "Policy inheritance". Its value is organization policy can override individual Copilot preferences, not resolving the current requirement. Here the controlling problem is a merged company has incompatible Copilot organization policies across its GitHub organizations, and the proposal must meet that constraint.
This is a reasonable intervention for the separate case "CLI install source". Its value is a lookalike binary is a supply-chain risk even if its name sounds official, not resolving the current requirement.
Public code allow together with Index limits now needs a coordinated review. The first finding is: A developer wants matching public-code suggestions with references for manual license review. The second finding is: A code review sees no public-code match warning and concludes originality is guaranteed. Select TWO actions, one that resolves each finding.
This addresses the second finding. A refreshed public-code index cannot cover all proprietary code or recently changed repositories. The verification is: The licensing review documents checks beyond missing match warnings. The complementary action addresses Public code allow.
This addresses the first finding. Allow mode may show matches with source references rather than blocking. The verification is: A matching accepted suggestion exposes a reviewable provenance reference. The complementary action addresses Index limits.
This is relevant to a different case: A user disables code-matching policy in their settings but enterprise blocks matches. Its capability is: Higher-level settings may override individual preferences. Neither Public code allow nor Index limits requires that result.
This is relevant to a different case: A developer expects an exclusion rule to work identically across VS Code and web Copilot Chat. Its capability is: Exclusion coverage differs between products and may be preview-only. Neither Public code allow nor Index limits requires that result.
This is relevant to a different case: An organization needs Copilot not to use a confidential directory for supported suggestions. Its capability is: Exclusions restrict content use only on supported surfaces and modes. Neither Public code allow nor Index limits requires that result.
Unsafe shell suggestion together with Secret in logs now needs a coordinated review. The first finding is: Copilot suggests piping an unverified script from the internet directly into a privileged shell. The second finding is: An AI-written exception logger dumps full request headers during login failures. Select TWO actions, one that resolves each finding.
This addresses the first finding. Generated commands can perform actions outside the intended scope. The verification is: Only audited actions run under an account with limited permissions. The complementary action addresses Secret in logs.
This addresses the second finding. Debug logging can exfiltrate tokens through routine telemetry. The verification is: A simulated authorization failure produces logs without bearer tokens. The complementary action addresses Unsafe shell suggestion.
This is relevant to a different case: Copilot proposes a cleanup script that recursively removes a shared project directory. Its capability is: A natural-language assistant may infer a broader target than intended. Neither Unsafe shell suggestion nor Secret in logs requires that result.
This is relevant to a different case: Copilot suggests interpolating a search term into a SQL string on an admin reporting page. Its capability is: Parameter binding separates input data from SQL syntax. Neither Unsafe shell suggestion nor Secret in logs requires that result.
This is relevant to a different case: Copilot proposes serverless for a long-running stateful task with strict socket requirements. Its capability is: Suggestions predict likely patterns but do not verify service limits. Neither Unsafe shell suggestion nor Secret in logs requires that result.
Use Copilot Chat with explicit tradeoff constraints. The prior failure was: A team asks for rationale and competing design choices rather than a few characters of implementation. Which observation should appear in the test record?
This is the acceptance signal tied to the issue: The response compares alternatives against latency, security and maintenance goals. It is causally related because chat can discuss options while inline completion primarily proposes local edits.
This observation would make sense for the independent case "Team access boundary", whose acceptance criterion is An unauthorized member cannot query the private repository content. It is not proof of the current remediation.
This observation would make sense for the independent case "Agent versus chat", whose acceptance criterion is The explanation names the warning and no tracked file is modified. It is not proof of the current remediation. In this verification case, the decisive result is the response compares alternatives against latency, security and maintenance goals, not a generic indication that the tool was used.
This observation would make sense for the independent case "Spaces research", whose acceptance criterion is A response references the intended curated design documentation. It is not proof of the current remediation.
Approval forgery together with PR human review now needs a coordinated review. The first finding is: An agent writes 'approved by security' into PR comments without actual security review. The second finding is: Copilot submits a patch touching authorization code with a plausible explanation. Select TWO actions, one that resolves each finding.
This addresses the second finding. An AI-authored rationale is not independent evidence of correctness. The verification is: A reviewer checks the diff and security tests pass on the exact commit. The complementary action addresses Approval forgery.
This addresses the first finding. Agent-generated text cannot confer a human approval decision. The verification is: The review system shows an authorized approver with a traceable event. The complementary action addresses PR human review.
This is relevant to a different case: A generated refactor removes permission checks to reduce branching and improve performance. Its capability is: Performance improvements cannot silently weaken access controls. Neither Approval forgery nor PR human review requires that result.
This is relevant to a different case: An autonomous agent can modify deployment configuration while investigating a failing build. Its capability is: Agent tooling can act beyond read-only code analysis when authorized. Neither Approval forgery nor PR human review requires that result.
This is relevant to a different case: A company approves Copilot-generated changes without recording reviewers or rationale. Its capability is: AI assistance does not replace accountability and traceability. Neither Approval forgery nor PR human review requires that result.
Missing constraint together with Zero shot now needs a coordinated review. The first finding is: A prompt asks to 'build an upload endpoint' without specifying file size or content type. The second finding is: A well-known sorting utility is requested with precise inputs and outputs but no examples. Select TWO actions, one that resolves each finding.
This addresses the second finding. A sufficiently specified task may not need examples. The verification is: The function handles sorted, reversed and duplicate inputs correctly. The complementary action addresses Missing constraint.
This addresses the first finding. Specific requirements produce testable implementations. The verification is: The generated handler rejects oversized and unauthorized uploads. The complementary action addresses Zero shot.
This is relevant to a different case: A prompt tells Copilot to 'act as an infallible security expert'. Its capability is: A persona cannot guarantee model correctness. Neither Missing constraint nor Zero shot requires that result.
This is relevant to a different case: A design question asks for one database but latency and consistency requirements conflict. Its capability is: Structured comparisons reveal hidden incompatible assumptions. Neither Missing constraint nor Zero shot requires that result.
This is relevant to a different case: A prompt asks for a fast API and generates in-memory caching without consistency constraints. Its capability is: Performance objectives need measurable dimensions. Neither Missing constraint nor Zero shot requires that result.
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