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Selects optimal sources for tool calls, balancing accuracy with token cost. Use before research tasks or when deciding whether a claim needs verification.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/athola/claude-night-market --skill smart-sourcingコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
Turn hunches into accepted results: worthiness score, evidence bar, research-to-rules. Use when vetting ideas. Not for QA; use night-market-validation-and-qa.
Generates and self-executes a diff-derived test plan for a PR. Use when validating PR changes before merge. Do not use for code review; use sanctum:pr-review.
Curate the web-capture index. Use when the capture backlog grows, captures sit unprocessed at seedling/pending, or to surface stored research during work.
SKILL.md を表示中
SOC 職業分類に基づく
| name | smart-sourcing |
| description | Selects optimal sources for tool calls, balancing accuracy with token cost. Use before research tasks or when deciding whether a claim needs verification. |
| alwaysApply | false |
| usage_patterns | ["research","source","citation","verify claim","web search","fetch"] |
| category | optimization |
| tags | ["sourcing","citations","accuracy","efficiency"] |
| tools | [] |
| complexity | low |
| model_hint | fast |
| estimated_tokens | 400 |
Intelligent sourcing that requires citations only when the cost is justified by the value of verification.
Full sourcing is prohibitively expensive (10-16x token increase). Smart sourcing targets high-value claims where verification materially improves accuracy.
| Claim Type | Example | Why Source |
|---|---|---|
| Version numbers | "Python 3.12 added..." | Versions change, easy to verify |
| Performance claims | "30% faster than..." | Quantitative claims need evidence |
| Security recommendations | "Use bcrypt for..." | Security advice must be current |
| API specifications | "The function accepts..." | APIs change between versions |
| Release dates | "Released in Q4 2025" | Factual, verifiable |
| Pricing/limits | "Free tier allows 1000 requests" | Business terms change |
| Deprecated features | "X was removed in version Y" | Breaking changes need verification |
| Claim Type | Example | Why No Source |
|---|---|---|
| General concepts | "Async improves concurrency" | Foundational knowledge |
| Code examples | Demonstrative snippets | Illustrative, not factual claims |
| Opinion/preference | "Consider using..." | Clearly framed as suggestion |
| Common knowledge | "Git tracks changes" | Universal understanding |
| Logical derivations | "Therefore, X implies Y" | Reasoning, not factual claim |
| Syntax | "Use def for functions" | Language documentation is stable |
Is this a factual claim?
├── No → No source needed
└── Yes → Would being wrong cause harm?
├── No (minor inconvenience) → No source needed
└── Yes → Is verification cost-effective?
├── No (>5k tokens for low-value claim) → State uncertainty
└── Yes → Perform web search, cite source
When sourcing is warranted:
Python 3.12 introduced `type` statement for type aliases[1].
Sources:
1. [PEP 695](https://peps.python.org/pep-0695/)
When sourcing isn't cost-effective but uncertainty exists:
Python 3.12 introduced the `type` statement (verify in release notes for your version).
| Confidence | Action |
|---|---|
| High (stable facts) | State directly |
| Medium (may have changed) | Add verification note |
| Low (uncertain) | Source or acknowledge uncertainty |
| Approach | Token Cost | Use Case |
|---|---|---|
| No sourcing | Baseline | General knowledge |
| Uncertainty marker | +5-10 tokens | Medium confidence |
| Single source | +2-5k tokens | High-value claim |
| Multiple sources | +10-20k tokens | Research tasks |
User: What's new in FastAPI 0.109?
Response: FastAPI 0.109 added Pydantic v2 support as default[1] and
improved OpenAPI schema generation[2].
Sources:
1. [FastAPI Release Notes](https://fastapi.tiangolo.com/release-notes/)
2. [GitHub Release 0.109.0](https://github.com/tiangolo/fastapi/releases/tag/0.109.0)
User: How does async/await work?
Response: Async/await enables non-blocking I/O by allowing coroutines
to yield control while waiting for operations. The event loop manages
execution, resuming coroutines when their awaited operations complete.
The connection pool default is typically 10 connections (verify in your
database driver documentation as this varies by library and version).
Works with:
conserve:response-compression - Keeps sourced responses conciseconserve:token-conservation - Weighs source cost vs valuememory-palace:knowledge-intake - Full sourcing for knowledge corpusEscalate to full sourcing (accept high token cost) for:
For these cases, use memory-palace:knowledge-intake workflow which is designed for thorough sourcing.