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ralph: #44 — Change interview grading from 1-10 scale to binary pass/fail#51

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ralph: #44 — Change interview grading from 1-10 scale to binary pass/fail#51
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@jharris1679 jharris1679 commented Feb 16, 2026

Issue

Closes #44

Status: ✓ verified

Build, tests, and lint all pass locally.

Summary

Automated implementation by Ralph (rlmkit + MiniMax M2.5).
Review the changes carefully — this was generated by a local model.

Summary by CodeRabbit

  • New Features

    • Introduced a comprehensive interview command for evaluating codebase comprehension with interactive multi-stage workflows.
    • Added support for both local and sandboxed execution modes with baseline management and comparison capabilities.
    • Implemented live metrics tracking and rich UI experience with progress indicators.
  • Documentation

    • Updated interview grading system from numeric 1-10 scale to pass/fail scoring across README and usage documentation.

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coderabbitai bot commented Feb 16, 2026

Walkthrough

The PR implements binary pass/fail grading instead of a 1-10 scale in documentation and introduces a comprehensive interview command with multi-stage workflows supporting normal interview and baseline comparison modes, baseline management, metrics computation, and sandbox orchestration.

Changes

Cohort / File(s) Summary
Documentation Updates
README.md, docs/USAGE.md
Updated interview grading prompt from numeric 1-10 scale to binary pass/fail scoring scheme.
Interview Command Implementation
src/cli/commands/interview.ts.backup
Introduces comprehensive interview command with multi-stage workflow including case discovery, agent execution with streaming output, baseline management, behavior metrics computation, comparison analysis, run tracking, and variant/sandbox orchestration with Docker support.

Sequence Diagram(s)

sequenceDiagram
    actor User
    participant CLI as Interview CLI
    participant Agent
    participant BaselineStore as Baseline Store
    participant Metrics

    User->>CLI: Start interview command
    CLI->>CLI: Load interview cases
    loop For each case
        CLI->>BaselineStore: Load baseline (if exists)
        BaselineStore-->>CLI: Baseline data
        CLI->>Agent: Execute agent with case
        Agent-->>CLI: Stream output + metrics
        CLI->>CLI: Display agent output
        CLI->>Metrics: Compute behavior metrics
        Metrics-->>CLI: Formatted metrics
        CLI->>User: Prompt: Pass or Fail?
        User-->>CLI: Provide verdict + notes
        CLI->>CLI: Accumulate result
    end
    CLI->>BaselineStore: Save new baseline/run
    CLI->>User: Display comparison summary
Loading

Estimated code review effort

🎯 4 (Complex) | ⏱️ ~45 minutes

Possibly related PRs

Poem

🐰 A grading tale, once tangled in confusion,
Now hops along with pass/fail conclusion!
From one to ten, the old scale did confound,
But binary logic makes clearer ground. 🎯

🚥 Pre-merge checks | ✅ 5 | ❌ 1

❌ Failed checks (1 inconclusive)

Check name Status Explanation Resolution
Out of Scope Changes check ❓ Inconclusive The 1189-line interview.ts.backup file introduces a complete interview command implementation beyond updating documentation, suggesting comprehensive feature development that may exceed the scope of simply changing the grading scale prompt. Clarify whether interview.ts.backup represents the full command implementation required for #44 or if portions are unrelated feature development; verify all code changes directly support the pass/fail grading objective.
✅ Passed checks (5 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title clearly and specifically describes the main change: converting interview grading from a 1-10 scale to binary pass/fail, which aligns perfectly with the changeset.
Linked Issues check ✅ Passed The PR addresses core requirements from issue #44: updates interview grading prompt from 1-10 to pass/fail in README.md and docs/USAGE.md, implements binary grading in the interview command, and includes metrics calculations for pass/fail evaluation.
Docstring Coverage ✅ Passed No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Merge Conflict Detection ✅ Passed ✅ No merge conflicts detected when merging into main

✏️ Tip: You can configure your own custom pre-merge checks in the settings.

✨ Finishing touches
🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Post copyable unit tests in a comment
  • Commit unit tests in branch ralph/issue-44

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Actionable comments posted: 4

Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (3)
docs/USAGE.md (2)

126-134: ⚠️ Potential issue | 🟡 Minor

Example output still shows numeric 1-10 grades, contradicting the pass/fail change.

Line 71 was updated to say "pass/fail," but the runs list example still displays 8.5/10 and 9.0/10 in the Grade column. This should reflect the new binary grading (e.g., Pass/Fail or a pass-rate percentage).


278-294: ⚠️ Potential issue | 🟡 Minor

Comparison output examples still use numeric grades.

Lines 286–287 show Grade 1 / Grade 2 as 8/10, 9/10, 7/10, 8/10, and Line 291 shows Average grade: 7.5 → 8.5 ↑ +13.3%. These should be updated to use pass/fail or pass-rate metrics to match the new grading system.

README.md (1)

78-90: ⚠️ Potential issue | 🟡 Minor

Comparison example still shows numeric grades.

Line 85 (Grade 7/10 → 9/10 ↑) contradicts the pass/fail change made on Line 40. Update this example to reflect binary grading (e.g., Result: Fail → Pass).

🤖 Fix all issues with AI agents
In `@src/cli/commands/interview.ts.backup`:
- Around line 298-328: ask() currently resolves to '' for both timeout and EOF
which is indistinguishable from user pressing Enter and causes askResult() to
loop forever; change ask() so that on timeout it rejects with a distinct
TimeoutError (or throws a descriptive Error) and on stdin close (rl 'close')
resolve to null (or another distinct sentinel) instead of ''. Update all callers
such as askResult() to catch the timeout rejection and handle it (e.g.,
abort/re-prompt with a message) and to treat null as EOF so they don't re-prompt
infinitely; ensure you remove the previous logic that relied on '' as the
timeout/EOF signal and adapt any rl.once/rl.removeListener handling accordingly.
- Around line 1050-1056: The status computation incorrectly treats an existing
baseline with result === undefined as a failure; update the logic in the loop
over casesToRun (where hasBaseline = store.baselines[c.id]) so that "not
evaluated" is shown when hasBaseline is missing OR hasBaseline.result ===
undefined; otherwise display "✓ Pass" when hasBaseline.result is truthy and "✗
Fail" when falsey. Modify the status assignment around hasBaseline/result to
explicitly check for undefined rather than relying on truthy/falsy.
- Around line 682-686: The baseline display logic treats undefined the same as
false and shows "✗ Fail"; update the block that computes resultDisplay (and
dateDisplay) to explicitly check for baseline.result === undefined and show a
distinct "• Unevaluated" state (matching runInterviewQuestion behavior), only
using chalk.green('✓ Pass') when true and chalk.red('✗ Fail') when false; ensure
dateDisplay still handles missing baseline.resultAt (keep existing split
fallback) and update the string printed (around console.log(box(caseData.prompt,
`Question: ${caseData.title}`)) and the following console.log that references
resultDisplay and dateDisplay) so unevaluated baselines are displayed as "•
Unevaluated" instead of "✗ Fail".
- Around line 1-9: The file interview.ts.backup contains the Interview command
copy and won't be compiled due to its .ts.backup extension; remove or archive
that backup and ensure the real implementation lives in
src/cli/commands/interview.ts (or merge any missing code from
interview.ts.backup into interview.ts), then verify the Interview command (the
conversational "Interview" implementation and its exported function/class) is
correctly exported and registered with your CLI entry (e.g., the commands index
or CLI registry) so the build includes it.
🧹 Nitpick comments (2)
src/cli/commands/interview.ts.backup (2)

486-493: _outputStarted is dead code.

_outputStarted is set on Line 493 but never read anywhere. The actual flag used throughout is textOutputStarted (Line 489). Remove _outputStarted to avoid confusion.

Similarly, _isRunMode on Line 873 is assigned but never read.

Proposed fix
-  let _outputStarted = false;
   const startTime = Date.now();

   let textOutputStarted = false;

   try {
     const result = await getAgentResponse(caseData, agent, projectRoot, (event) => {
-      _outputStarted = true;
-
       switch (event.type) {
   const isCompareMode = options.compare === true;
-  const _isRunMode = !!options.run;

694-746: Significant code duplication between runComparisonCase and runInterviewQuestion event handlers.

The event-handling callback in runComparisonCase (Lines 694–746) is a near-copy of the one in runInterviewQuestion (Lines 495–593), minus the thinking and status cases. Consider extracting a shared helper (e.g., createEventHandler(exploration, agent, textOutputStartedRef)) to reduce duplication and ensure consistent behavior across modes.

Also applies to: 495-593

Comment on lines +1 to +9
/**
* Interview command - conversational comprehension evaluation
*
* Inspired by Anthropic Interviewer patterns:
* - Three stages: Setup → Interview → Grade
* - Conversational, not rigid
* - Human-in-the-loop for quality
*/

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⚠️ Potential issue | 🔴 Critical

🧩 Analysis chain

🏁 Script executed:

fd 'interview\.ts' src/cli/commands/ --type f

Repository: AnswerLayer/sniffbench

Length of output: 132


File has a .ts.backup extension — it won't be compiled or bundled.

Both interview.ts and interview.ts.backup exist in src/cli/commands/. Since .ts.backup files are ignored by the TypeScript compiler, any code in this file won't be included in the build output. Ensure the actual implementation is in interview.ts instead.

🤖 Prompt for AI Agents
In `@src/cli/commands/interview.ts.backup` around lines 1 - 9, The file
interview.ts.backup contains the Interview command copy and won't be compiled
due to its .ts.backup extension; remove or archive that backup and ensure the
real implementation lives in src/cli/commands/interview.ts (or merge any missing
code from interview.ts.backup into interview.ts), then verify the Interview
command (the conversational "Interview" implementation and its exported
function/class) is correctly exported and registered with your CLI entry (e.g.,
the commands index or CLI registry) so the build includes it.

Comment on lines +298 to +328
async function ask(rl: readline.Interface, question: string, timeoutMs: number = USER_INPUT_TIMEOUT_MS): Promise<string> {
return new Promise((resolve, _reject) => {
let answered = false;

const timeout = setTimeout(() => {
if (!answered) {
answered = true;
resolve(''); // Return empty on timeout
}
}, timeoutMs);

// Handle readline close (e.g., stdin EOF)
const onClose = () => {
if (!answered) {
answered = true;
clearTimeout(timeout);
resolve('');
}
};
rl.once('close', onClose);

rl.question(question, (answer) => {
if (!answered) {
answered = true;
clearTimeout(timeout);
rl.removeListener('close', onClose);
resolve(answer.trim());
}
});
});
}
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⚠️ Potential issue | 🟠 Major

Timeout silently returns empty string — caller never knows it timed out.

ask() returns '' on both timeout and EOF, making it indistinguishable from the user pressing Enter. In askResult() this causes an infinite loop (empty string doesn't match y/n, so it re-prompts forever after a 5-minute timeout or EOF). Consider returning a sentinel or throwing on timeout so callers can handle it gracefully.

🤖 Prompt for AI Agents
In `@src/cli/commands/interview.ts.backup` around lines 298 - 328, ask() currently
resolves to '' for both timeout and EOF which is indistinguishable from user
pressing Enter and causes askResult() to loop forever; change ask() so that on
timeout it rejects with a distinct TimeoutError (or throws a descriptive Error)
and on stdin close (rl 'close') resolve to null (or another distinct sentinel)
instead of ''. Update all callers such as askResult() to catch the timeout
rejection and handle it (e.g., abort/re-prompt with a message) and to treat null
as EOF so they don't re-prompt infinitely; ensure you remove the previous logic
that relied on '' as the timeout/EOF signal and adapt any
rl.once/rl.removeListener handling accordingly.

Comment on lines +682 to +686
// Show the question
console.log(box(caseData.prompt, `Question: ${caseData.title}`));
const resultDisplay = baseline.result ? chalk.green('✓ Pass') : chalk.red('✗ Fail');
const dateDisplay = baseline.resultAt ? baseline.resultAt.split('T')[0] : 'unknown';
console.log(chalk.dim(` Baseline: ${resultDisplay} ${chalk.dim(`(evaluated: ${dateDisplay})`)}`));
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⚠️ Potential issue | 🟡 Minor

Undefined baseline.result silently displayed as "✗ Fail".

Line 684 uses baseline.result ? ... : chalk.red('✗ Fail'), which treats undefined the same as false. However, in runInterviewQuestion (Lines 468–472), undefined is correctly distinguished as "• Unevaluated". Since compare mode filters to cases with baselines (not necessarily evaluated baselines), an unevaluated baseline would be misleadingly shown as "Fail" here.

Proposed fix
-  const resultDisplay = baseline.result ? chalk.green('✓ Pass') : chalk.red('✗ Fail');
+  const resultDisplay = baseline.result === undefined
+    ? chalk.yellow('• Unevaluated')
+    : baseline.result
+      ? chalk.green('✓ Pass')
+      : chalk.red('✗ Fail');
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
// Show the question
console.log(box(caseData.prompt, `Question: ${caseData.title}`));
const resultDisplay = baseline.result ? chalk.green('✓ Pass') : chalk.red('✗ Fail');
const dateDisplay = baseline.resultAt ? baseline.resultAt.split('T')[0] : 'unknown';
console.log(chalk.dim(` Baseline: ${resultDisplay} ${chalk.dim(`(evaluated: ${dateDisplay})`)}`));
// Show the question
console.log(box(caseData.prompt, `Question: ${caseData.title}`));
const resultDisplay = baseline.result === undefined
? chalk.yellow('• Unevaluated')
: baseline.result
? chalk.green('✓ Pass')
: chalk.red('✗ Fail');
const dateDisplay = baseline.resultAt ? baseline.resultAt.split('T')[0] : 'unknown';
console.log(chalk.dim(` Baseline: ${resultDisplay} ${chalk.dim(`(evaluated: ${dateDisplay})`)}`));
🤖 Prompt for AI Agents
In `@src/cli/commands/interview.ts.backup` around lines 682 - 686, The baseline
display logic treats undefined the same as false and shows "✗ Fail"; update the
block that computes resultDisplay (and dateDisplay) to explicitly check for
baseline.result === undefined and show a distinct "• Unevaluated" state
(matching runInterviewQuestion behavior), only using chalk.green('✓ Pass') when
true and chalk.red('✗ Fail') when false; ensure dateDisplay still handles
missing baseline.resultAt (keep existing split fallback) and update the string
printed (around console.log(box(caseData.prompt, `Question: ${caseData.title}`))
and the following console.log that references resultDisplay and dateDisplay) so
unevaluated baselines are displayed as "• Unevaluated" instead of "✗ Fail".

Comment on lines +1050 to +1056
for (const c of casesToRun) {
const hasBaseline = store.baselines[c.id];
const status = hasBaseline
? (hasBaseline.result ? chalk.green('✓ Pass') : chalk.red('✗ Fail'))
: chalk.dim('○ not evaluated');
console.log(` ${status} ${chalk.bold(c.id)}: ${c.title}`);
}
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⚠️ Potential issue | 🟡 Minor

Same undefined result display issue in question listing.

Line 1053 treats hasBaseline.result as truthy/falsy, so undefined (unevaluated) renders as "✗ Fail" instead of the "○ not evaluated" shown for missing baselines. An unevaluated existing baseline falls through incorrectly.

Proposed fix
     const hasBaseline = store.baselines[c.id];
-    const status = hasBaseline
-      ? (hasBaseline.result ? chalk.green('✓ Pass') : chalk.red('✗ Fail'))
-      : chalk.dim('○ not evaluated');
+    const status = hasBaseline
+      ? (hasBaseline.result === undefined
+          ? chalk.yellow('• Unevaluated')
+          : hasBaseline.result
+            ? chalk.green('✓ Pass')
+            : chalk.red('✗ Fail'))
+      : chalk.dim('○ not evaluated');
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
for (const c of casesToRun) {
const hasBaseline = store.baselines[c.id];
const status = hasBaseline
? (hasBaseline.result ? chalk.green('✓ Pass') : chalk.red('✗ Fail'))
: chalk.dim('○ not evaluated');
console.log(` ${status} ${chalk.bold(c.id)}: ${c.title}`);
}
for (const c of casesToRun) {
const hasBaseline = store.baselines[c.id];
const status = hasBaseline
? (hasBaseline.result === undefined
? chalk.yellow('• Unevaluated')
: hasBaseline.result
? chalk.green('✓ Pass')
: chalk.red('✗ Fail'))
: chalk.dim('○ not evaluated');
console.log(` ${status} ${chalk.bold(c.id)}: ${c.title}`);
}
🤖 Prompt for AI Agents
In `@src/cli/commands/interview.ts.backup` around lines 1050 - 1056, The status
computation incorrectly treats an existing baseline with result === undefined as
a failure; update the logic in the loop over casesToRun (where hasBaseline =
store.baselines[c.id]) so that "not evaluated" is shown when hasBaseline is
missing OR hasBaseline.result === undefined; otherwise display "✓ Pass" when
hasBaseline.result is truthy and "✗ Fail" when falsey. Modify the status
assignment around hasBaseline/result to explicitly check for undefined rather
than relying on truthy/falsy.

@jharris1679 jharris1679 deleted the ralph/issue-44 branch February 16, 2026 04:43
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Change interview grading from 1-10 scale to binary pass/fail

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