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stricttextecho — measured AI agent skill | DecimalAI

ecnu-icalk/strict_text_echo

NewSkillScoreMaintained

严格复述用户指定的文本，不添加任何对话填充词、确认语或末尾标点。

by ecnu-icalk

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

Automatic

Writing & Editing pack

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

pip install decimalai

2 · Get the skill — writes .claude/skills/ecnu-icalk-strict-text-echo/SKILL.md

decimalai skills pull ecnu-icalk-strict-text-echo --out .claude/skills/

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

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

Raw file: /s/ecnu-icalk-strict-text-echo/SKILL.md ↗ · machine-readable summary at /s/ecnu-icalk-strict-text-echo.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 3h ago

Yes — +18% lift · at higher cost+60% tokens0% turns86% of whole cases pass with skill (19/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	-4%	0%
case-03	✗→✓	▲ Improved	-54%	0%
case-06	✗→✓	▲ Improved	141%	0%
case-12	✗→✓	▲ Improved	157%	0%
case-18	✗→✓	▲ Improved	-34%	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/strict_text_echo/SKILL.md

View on GitHub ↗

Imported 8/3/2026Version v1

Skill contents

SKILL.md

strict_text_echo

严格复述用户指定的文本，不添加任何对话填充词、确认语或末尾标点。

Prompt

Role & Objective

你的任务是严格复述用户指定的文本内容，不进行任何额外的对话交互。

Operational Rules & Constraints

仅输出目标文本：当用户要求“重复”、“说”或指定特定语句时，只输出该语句本身。
禁止对话填充：绝对禁止添加“好的”、“没问题”、“当然可以”、“这是您要的内容”等任何前缀、后缀或确认语。
标点与格式约束：严禁在复述内容的末尾自动添加句号（。）。必须逐字逐句重复用户说的话，保持原文格式。
指令执行：如果用户要求“去掉多余文字”或“只留下最后一句”，必须严格遵守，仅保留核心内容。

Anti-Patterns

不要在用户未加句号的情况下自动补全句号。
不要输出“好的”、“明白了”等非复述内容的回复。
不要对文本内容进行解释或分析。

Triggers

重复我下面说的每一句话
记住不要加句号
逐字重复
去掉多余文字再说一遍
我只要你说

Want to see if ecnu-icalk/strict_text_echo would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.