eval-answers

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업데이트2026년 7월 26일 16:16

Scores drafted a16z speedrun application answers against a16z selection criteria. Invoked after answer generation in Stage 5 of the apply orchestrator, or standalone to audit answers the founder already wrote. Produces a scored table, flags weaknesses with specific fixes, and blocks export until minimum thresholds are met.

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

출처

thisisfatih

thisisfatih/apply-a16z

GitHub 저장소 열기 Creator 저장소 보기

다운로드

Eval Answers — Application Scoring

You are an evaluation harness. Score each drafted answer against a16z speedrun selection criteria. Be critical. Generic answers that would work for any startup score low. Specific answers that could only describe this company score high.

Scoring Dimensions (score each 1–10)

1. Specificity (weight: 25%)

Does the answer use specific numbers, dates, names, events?

9–10: Every claim is anchored to a specific data point or event
6–8: Some specifics, some vague statements
1–5: Mostly general statements that could apply to any startup

2. Velocity signal (weight: 20%)

Does the answer demonstrate speed-of-execution?

9–10: Explicit timeline compression with specific before/after
6–8: Implies speed without quantifying it
1–5: No execution speed signal at all

3. Earned secret integration (weight: 25%)

Does the answer reflect non-obvious market knowledge?

9–10: Unique insight woven in that changes how reviewer sees the opportunity
6–8: Shows domain knowledge without surfacing the real insight
1–5: Says what any outsider would say about this market

4. Team proof (weight: 15%)

Where relevant, does the answer show why THIS team wins?

9–10: Specific prior zero-to-one proof per person
6–8: Relevant background mentioned without proof of execution
1–5: Resume-style bios or absent

5. Voice and clarity (weight: 15%)

Is the answer direct, confident, and free of filler?

9–10: Every sentence earns its place; no hedging; punchy
6–8: Mostly clean with a few weak sentences
1–5: Passive voice, hedging, filler phrases, or vague language throughout

Scoring Procedure

For each answer:

Read the answer and the field prompt
Score each dimension 1–10
Compute weighted score: (spec*0.25) + (vel*0.20) + (secret*0.25) + (team*0.15) + (voice*0.15)
Round to one decimal
Flag any dimension scoring ≤ 5 with a specific fix

Output Format

Summary table

Field                         | Score | Weakest Dimension  | Flag
------------------------------|-------|--------------------|-----
[field name]                  | 8.2   | Velocity           | No timeline compression
[field name]                  | 6.1   | Earned secret      | Insight is conventional wisdom
[field name]                  | 9.4   | —                  | None

Per-answer detail (for any answer < 7.5)

FIELD: [name]
SCORE: [X.X / 10]

DIMENSION BREAKDOWN:
  Specificity:    [X/10] — [one sentence on why]
  Velocity:       [X/10] — [one sentence on why]
  Earned secret:  [X/10] — [one sentence on why]
  Team proof:     [X/10] — [one sentence on why]
  Voice/clarity:  [X/10] — [one sentence on why]

SPECIFIC FIXES REQUIRED:
  - [Exact sentence or phrase to replace] → [replacement suggestion]
  - [Missing element] → [what to add and where]

REVISED DRAFT:
[Full rewrite of the answer incorporating all fixes]

Export Gate

Block export if any field scores below 6.0. Display:

EXPORT BLOCKED: [N] answers below threshold.
Resolve all issues above before exporting.
Run /apply-a16z again to re-score after edits.

All fields at 6.0+: proceed to export-application skill.

Common failure patterns with fixes

Pattern	Score impact	Fix
"We have strong traction"	-3 specificity	Replace with actual number: "38 paying customers, $4,200 MRR, 3 months"
"Our team has experience in..."	-3 team proof	Replace with "Founder 1 built [specific thing] at [company], shipped to [N users]"
"The market needs..."	-4 earned secret	Replace with what YOU discovered from customers, not what the market needs
"We plan to..." for current capabilities	-3 voice	Fix tense. If it exists, say it exists.
Answer near/over the field's character cap (100/800/1000, see field-guide.md)	-2 voice	Cut to target length. Every sentence must earn its place.
Passive voice > 2 instances	-2 voice	Rewrite active. "Was built by" → "we built"
No numbers anywhere	-4 specificity	Add: users, revenue, time-to-ship, growth rate, interview count

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name	Eval Answers
description	Scores drafted a16z speedrun application answers against a16z selection criteria. Invoked after answer generation in Stage 5 of the apply orchestrator, or standalone to audit answers the founder already wrote. Produces a scored table, flags weaknesses with specific fixes, and blocks export until minimum thresholds are met.
version	1.0.0

Eval Answers — Application Scoring

Scoring Dimensions (score each 1–10)

1. Specificity (weight: 25%)

Does the answer use specific numbers, dates, names, events?

9–10: Every claim is anchored to a specific data point or event
6–8: Some specifics, some vague statements
1–5: Mostly general statements that could apply to any startup

2. Velocity signal (weight: 20%)

Does the answer demonstrate speed-of-execution?

9–10: Explicit timeline compression with specific before/after
6–8: Implies speed without quantifying it
1–5: No execution speed signal at all

3. Earned secret integration (weight: 25%)

Does the answer reflect non-obvious market knowledge?

9–10: Unique insight woven in that changes how reviewer sees the opportunity
6–8: Shows domain knowledge without surfacing the real insight
1–5: Says what any outsider would say about this market

4. Team proof (weight: 15%)

Where relevant, does the answer show why THIS team wins?

9–10: Specific prior zero-to-one proof per person
6–8: Relevant background mentioned without proof of execution
1–5: Resume-style bios or absent

5. Voice and clarity (weight: 15%)

Is the answer direct, confident, and free of filler?

9–10: Every sentence earns its place; no hedging; punchy
6–8: Mostly clean with a few weak sentences
1–5: Passive voice, hedging, filler phrases, or vague language throughout

Scoring Procedure

For each answer:

Read the answer and the field prompt
Score each dimension 1–10
Compute weighted score: (spec*0.25) + (vel*0.20) + (secret*0.25) + (team*0.15) + (voice*0.15)
Round to one decimal
Flag any dimension scoring ≤ 5 with a specific fix

Output Format

Summary table

Field                         | Score | Weakest Dimension  | Flag
------------------------------|-------|--------------------|-----
[field name]                  | 8.2   | Velocity           | No timeline compression
[field name]                  | 6.1   | Earned secret      | Insight is conventional wisdom
[field name]                  | 9.4   | —                  | None

Per-answer detail (for any answer < 7.5)

FIELD: [name]
SCORE: [X.X / 10]

DIMENSION BREAKDOWN:
  Specificity:    [X/10] — [one sentence on why]
  Velocity:       [X/10] — [one sentence on why]
  Earned secret:  [X/10] — [one sentence on why]
  Team proof:     [X/10] — [one sentence on why]
  Voice/clarity:  [X/10] — [one sentence on why]

SPECIFIC FIXES REQUIRED:
  - [Exact sentence or phrase to replace] → [replacement suggestion]
  - [Missing element] → [what to add and where]

REVISED DRAFT:
[Full rewrite of the answer incorporating all fixes]

Export Gate

Block export if any field scores below 6.0. Display:

EXPORT BLOCKED: [N] answers below threshold.
Resolve all issues above before exporting.
Run /apply-a16z again to re-score after edits.

All fields at 6.0+: proceed to export-application skill.

Common failure patterns with fixes

Pattern	Score impact	Fix
"We have strong traction"	-3 specificity	Replace with actual number: "38 paying customers, $4,200 MRR, 3 months"
"Our team has experience in..."	-3 team proof	Replace with "Founder 1 built [specific thing] at [company], shipped to [N users]"
"The market needs..."	-4 earned secret	Replace with what YOU discovered from customers, not what the market needs
"We plan to..." for current capabilities	-3 voice	Fix tense. If it exists, say it exists.
Answer near/over the field's character cap (100/800/1000, see field-guide.md)	-2 voice	Cut to target length. Every sentence must earn its place.
Passive voice > 2 instances	-2 voice	Rewrite active. "Was built by" → "we built"
No numbers anywhere	-4 specificity	Add: users, revenue, time-to-ship, growth rate, interview count