assumption-surface
Skill1 starsChanged 7 months agoMITView on GitHub
Extract hidden assumptions from a task request before any work begins. Use when the user says "before you start", "think this through", "what would you assume", "what am I missing", "is this clear enough to build", or when a one-line request triggers multiple implementation choices. Returns ranked assumptions by blast radius, minimum questions to proceed, and candidate interpretations.
In this repository11 other files it gives its agents.
- description-craftSkill
- goal-criteriaSkill
- karpathy-codingSkill
- lean-responseSkill
- simplicity-auditSkill
- skill-compressSkill
- skill-graphSkill
- surgical-diffSkill
- token-auditSkill
- token-budget-checkSkill
- vixero-councilSkill
The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 7 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈7
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 44
Read the request. List every decision the implementer must make that was not stated.
- Distinctive: line 49
If no answer comes, generate 2–3 candidate interpretations ranked by likelihood.
- Distinctive: line 114
If zero high-blast assumptions exist, say "no hidden assumptions" and proceed.
- Distinctive: line 115
Never exceed 5 minimum questions.
- Distinctive: line 116
Never ask about style preferences unless the task is style-bound (writing, naming, UI).
- Distinctive: line 118
If the request is one sentence and hits 3+ high-blast assumptions, flag "request underspecified" at the top.
- Distinctive: line 119
Never proceed on low-blast defaults if user explicitly asked you to enumerate everything.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
assumption-surface
Force assumptions into the open. Do not start work while high-blast gaps remain.
Trigger on
- "before you start"
- "what would you assume"
- "what am I missing"
- "think this through first"
- "is this clear enough to build"
- Any request where scope, format, data source, or target is not specified
Blast radius
| blast | meaning | handling |
| high | wrong guess → rework everything | mandatory question |
| medium | wrong guess → section rework | recommended question |
| low | wrong guess → easy patch | proceed with stated default |
Common assumption categories
| category | example |
| scope | all rows / filtered subset / just new ones |
| format | JSON / CSV / XML / proprietary |
| delivery | file / API response / email / webhook |
| performance | best-effort / bounded latency / hard SLA |
| concurrency | single user / many users / batch |
| failure mode | fail loud / fail silent / degrade |
| data source | prod DB / staging / cached / user-provided |
| auth | authenticated / public / service-to-service |
| target env | dev / staging / prod / all three |
| persistence | in-memory / disk / database |
| existing code | greenfield / extend existing / replace |
Process
- Read the request. List every decision the implementer must make that was not stated.
- Map each to a category above.
- For each, note the default most LLMs would assume silently.
- Rank by blast radius.
- Extract questions for high + medium. Low proceeds with a noted default.
- If no answer comes, generate 2–3 candidate interpretations ranked by likelihood.
Output
request: {one-line summary}
assumptions (high blast):
- {category}: {assumption} → default: {typical guess} → ask: {question}
- ...
assumptions (medium):
- {category}: {assumption} → default: {guess} → ask: {question}
assumptions (low — proceeding with defaults):
- {category}: {default}
minimum questions to proceed:
1. {question}
2. {question}
interpretations if no answer comes:
A. {reading 1} → implies {concrete choice chain}
B. {reading 2} → implies {concrete choice chain}
C. (optional) {reading 3}
recommended path: {A | B | C | hold for answers}
reasoning: {one line on why this path}Worked example
Input: "add a way to export users"
request: export users functionality
assumptions (high blast):
- scope: all users vs filtered subset → default: all → ask: scope?
- delivery: file download vs API response → default: API → ask: how delivered?
- fields: which columns → default: id+name+email → ask: which fields (privacy)?
assumptions (medium):
- format: JSON vs CSV → default: JSON → ask: format?
- volume: thousands vs millions → default: thousands → ask: scale?
assumptions (low — proceeding with defaults):
- persistence: no caching needed
- auth: admin-only endpoint
minimum questions to proceed:
1. Scope + field set (privacy-critical)
2. Delivery mechanism
3. Expected volume (affects pagination / streaming choice)
interpretations if no answer:
A. Admin API endpoint → paginated JSON, id+email+name, admin-auth
B. One-off data dump → CSV file, all fields, run via script
recommended path: A
reasoning: API is safer default — paginated, auth-bound, does not need ops supportHard rules
- List assumptions before writing code, prose, or structure.
- If zero high-blast assumptions exist, say "no hidden assumptions" and proceed.
- Never exceed 5 minimum questions. More = request is too broad, recommend decomposition.
- Never ask about style preferences unless the task is style-bound (writing, naming, UI).
- Defaults come from project context first, general conventions second.
- If the request is one sentence and hits 3+ high-blast assumptions, flag "request underspecified" at the top.
- Never proceed on low-blast defaults if user explicitly asked you to enumerate everything.
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