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🧬 Taiwan.md — Article Inbox 消化入口 — measured AI agent skill | DecimalAI

frank890417/twmd-article-inbox

NewSkillScoreMaintained

Add topics/material to ARTICLE-INBOX via canonical BRANCH-PIPELINE — digest observer input (theme / article / raw material) into curated candidates with priority + 連結密度 + 對比理由, then append §Pending. TRIGGER when: user says "/twmd-article-inbox X", "把 X 加進 article inbox", "幫我研究 X 放進 inbox", "X 進 inbox 消化".

Documentationby frank890417

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

Automatic

Knowledge Management pack

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

pip install decimalai

2 · Get the skill — writes .claude/skills/frank890417-twmd-article-inbox/SKILL.md

decimalai skills pull frank890417-twmd-article-inbox --out .claude/skills/

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

curl -fsSL --create-dirs -o .claude/skills/frank890417-twmd-article-inbox/SKILL.md https://app.decimal.ai/s/frank890417-twmd-article-inbox/SKILL.md

Raw file: /s/frank890417-twmd-article-inbox/SKILL.md ↗ · machine-readable summary at /s/frank890417-twmd-article-inbox.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 2h ago

—+2% tokens0% turns59% of whole cases pass with skill (13/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-16	✗→✓	▲ Improved	47%	0%
case-06	✗→✓	▲ Improved	993%	0%
case-07	✗→✓	▲ Improved	-26%	0%
case-08	✗→✓	▲ Improved	-50%	0%
case-09	✗→✓	▲ Improved	-5%	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

frank890417 / taiwan-md

.claude/skills/twmd-article-inbox/SKILL.md

View on GitHub ↗

Imported 8/3/2026Version v1

Skill contents

SKILL.md

🧬 Taiwan.md — Article Inbox 消化入口

🚨 STRICT BECOME GATE — 第一動作不可省略

Before anything else：跑 /twmd-become write 完整走 BECOME_TAIWANMD.md Step 0-9（write mode 會載 ARTICLE-INBOX §P0/P1 視野，dedup 需要）。

✅ BECOME ack: mode=write / ARTICLE-INBOX pending 數=<inbox-signal 即時讀> / Q14=PASS

Pipeline

嚴格完整讀取並執行 docs/pipelines/BRANCH-PIPELINE.md v2.1 Stage 0-5。不消化＝不 append：這條 skill 的存在理由是「進 inbox 的每條 entry 都經過分支分析」，raw 主題直接塞 inbox 是本 skill 的反面。

Mode 判斷交 Stage 0（single-article / broad-theme / hybrid；觀察者丟素材而非主題時走 §素材 intake 前處理）。

Inline hard gate（最常被偷吃步的四條，違者 = 任務 incomplete）

Agent 落檔 claim 必驗：broad-theme spawn 的每個 research agent 回報後，主 session 必跑 ls + wc -l reports/research/{YYYY-MM}/...，檔案不存在就補寫或重派。反例：Stage 1 research agent 曾 self-report「已落檔」但檔案不存在（feedback_agent_writefile_hallucination，已升 REWRITE §13）
中文 verbatim + 三源：agent prompt 必含中文 query、禁英文回譯、重要事實 ≥2-3 獨立來源（REFLEXES #23 毒樹果實鏈 / #16）
Dedup 三查：append 前 grep ARTICLE-INBOX pending + ARTICLE-DONE-LOG + knowledge/ baseline 三處。反例：只查 pending 的年代，已 ship 主題被重複推薦進 inbox，變 inbox 幽靈
Entry 格式以 ARTICLE-INBOX §Entry Schema 為準：Requested 欄寫「YYYY-MM-DD by 觀察者/branch-analysis (session X)」，含對比理由與連結密度

收官

commit + push（worktree 走 semiont-worktree.sh ship）→ memory file 必含：BECOME ACK + mode 判定 + N candidates appended（含 P0/P1/P2 分佈）+ dedup 三查結果 + Handoff 三態。

完整 SOP：docs/pipelines/BRANCH-PIPELINE.md

Want to see if frank890417/twmd-article-inbox 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.