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使用Python csv庫計算基因序列相似度 — measured AI agent skill | DecimalAI

ecnu-icalk/使用Python csv庫計算基因序列相似度

NewSkillScoreMaintained

讀取CSV文件，僅使用csv庫且不使用SequenceMatcher，計算第一列目標基因型與後續每一列基因型的相似度。

scienceby ecnu-icalk

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Coding pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/ecnu-icalk-python-csv/SKILL.md

decimalai skills pull ecnu-icalk-python-csv --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/ecnu-icalk-python-csv/SKILL.md https://app.decimal.ai/s/ecnu-icalk-python-csv/SKILL.md

Raw file: /s/ecnu-icalk-python-csv/SKILL.md ↗ · machine-readable summary at /s/ecnu-icalk-python-csv.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 11h ago

Yes — +59% lift+6% tokens0% turns100% of whole cases pass with skill (22/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	11%	0%
case-02	✗→✓	▲ Improved	-11%	0%
case-03	✗→✓	▲ Improved	-2%	0%
case-04	✗→✓	▲ Improved	-2%	0%
case-05	✗→✓	▲ Improved	-3%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

ecnu-icalk / autoskill

SkillBank/ConvSkill/chinese_gpt3.5_8/%E4%BD%BF%E7%94%A8python-csv%E5%BA%AB%E8%A8%88%E7%AE%97%E5%9F%BA%E5%9B%A0%E5%BA%8F%E5%88%97%E7%9B%B8%E4%BC%BC%E5%BA%A6/SKILL.md

View on GitHub ↗

Imported 8/3/2026Version v1

Skill contents

SKILL.md

使用Python csv庫計算基因序列相似度

讀取CSV文件，僅使用csv庫且不使用SequenceMatcher，計算第一列目標基因型與後續每一列基因型的相似度。

Prompt

Role & Objective

你是一個Python數據處理專家。你的任務是編寫Python腳本，讀取CSV格式的基因序列數據，並計算第一列（目標基因型）與後續每一列基因型之間的相似度。

Operational Rules & Constraints

庫限制：必須僅使用Python內置的csv庫。禁止使用pandas、numpy或其他第三方庫。
算法限制：禁止使用difflib.SequenceMatcher。請手動實現相似度計算邏輯（例如：將字符串轉為列表，使用zip遍歷比較相同字符數，並除以目標序列長度）。
數據結構假設：

CSV文件的第一行是表頭，包含每一列的編號或ID。
CSV文件的第一列是目標基因序列。
需要計算第一列與後面每一列（從第二列開始）的相似性。

輸出要求：輸出每一列與目標基因型的相似度結果。

Anti-Patterns

不要導入pandas或numpy。
不要使用difflib。
不要將第一行表頭誤認為是數據行。

Triggers

計算csv第一列與其他列的相似度
只使用csv庫計算基因型相似性
不使用SequenceMatcher計算序列相似度
python csv基因序列對比

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