yjh051108/dsh-routing-suite – injector, router preset, and graded components
A GitHub repository offering a runtime injector, a task‑aware reasoning‑mode router preset, and a graded protocol, with experimental performance data and developer‑preview status. 6,991 GitHub stars in 49 days since yjh051108/dsh-routing-suite was created (142.9/day). 1 source across 1 channel. Automatically detected
30Fact cited ·Analysis our interpretation ·Estimate forward-looking · [n] links to the source
5 claims drafted by openai/gpt-oss-20b were kept because each quote was found verbatim in its source; 0 unverifiable claims were discarded. Statements marked AI await human review.
What happened
- Fact The repository contains three main components: a runtime injector, a router preset, and a graded protocol.[1]AI
dsh-routing-suite — injector + router-standard kit: install the runtime injector first, then the task-aware reasoning-mode router preset (measured P1-P23).. dsh-routing-suite — 注入器 × 思维模式路由 × 分级模式 套装 一个仓库装齐三件套：运行时注入器（免重启运行时管理层）+ 思维模式路由预设（任务感知推理模式，P1-P23 实测）+ 分级任务协议
- Fact The router preset has been experimentally measured from P1 to P23.[1]AI
router-standard 预设能力（P1-P23 实测摘要）
- Fact The repository is in developer preview and may have breaking changes.[1]AI
DSH 目前处于 developer preview，官方明示会有破坏性变更（breaking changes）。
- Fact Installation requires three steps and manual copying of the preset directory.[1]AI
安装链（三步） 或手动： 注意：不要复制 preset 整目录（会多套一层，DSH 发现不了预设）。
- Fact The repository includes experimental data and measurement tools for model attention and protocol performance.[1]AI
- 📊 协议 vs 无协议：实测对比——同型 3D 任务三会话对比表+ASCI I 图 - 🧪 测量工具——node scripts/measure.mjs 你的会话.jsonl：任何人可对自己会话复算上述指标（脱敏：只输出数字）
- Fact The GitHub repository yjh051108/dsh-routing-suite was created on 14 Aug 2026 and had 6,991 stars on 2 Oct 2026.[1]
- Fact Its description reads: “dsh-routing-suite — injector + router-standard kit: install the runtime injector first, then the task-aware reasoning-mode router preset (measured P1-P23).”[1]
- Fact That is 6,991 stars in 49 days, an average of 142.9 per day.[1]
Why it matters
- Analysis Automatically detected from public activity data. Not yet reviewed by an analyst.
Should I care?
What changed?
- Fact The repository contains three main components: a runtime injector, a router preset, and a graded protocol.[1]AI
dsh-routing-suite — injector + router-standard kit: install the runtime injector first, then the task-aware reasoning-mode router preset (measured P1-P23).. dsh-routing-suite — 注入器 × 思维模式路由 × 分级模式 套装 一个仓库装齐三件套：运行时注入器（免重启运行时管理层）+ 思维模式路由预设（任务感知推理模式，P1-P23 实测）+ 分级任务协议
- Fact The router preset has been experimentally measured from P1 to P23.[1]AI
router-standard 预设能力（P1-P23 实测摘要）
Who is affected?
Not yet assessed.
What can developers do with it?
Not yet assessed.
Is it production-ready?
Insufficient evidence
Analysis Not assessed.
What would make it important?
Not yet assessed.
What could prevent adoption?
Not yet assessed.
Technical change
- Fact The repository contains three main components: a runtime injector, a router preset, and a graded protocol.[1]AI
dsh-routing-suite — injector + router-standard kit: install the runtime injector first, then the task-aware reasoning-mode router preset (measured P1-P23).. dsh-routing-suite — 注入器 × 思维模式路由 × 分级模式 套装 一个仓库装齐三件套：运行时注入器（免重启运行时管理层）+ 思维模式路由预设（任务感知推理模式，P1-P23 实测）+ 分级任务协议
- Fact The router preset has been experimentally measured from P1 to P23.[1]AI
router-standard 预设能力（P1-P23 实测摘要）
- Fact The repository is in developer preview and may have breaking changes.[1]AI
DSH 目前处于 developer preview，官方明示会有破坏性变更（breaking changes）。
- Fact Installation requires three steps and manual copying of the preset directory.[1]AI
安装链（三步） 或手动： 注意：不要复制 preset 整目录（会多套一层，DSH 发现不了预设）。
- Fact The repository includes experimental data and measurement tools for model attention and protocol performance.[1]AI
- 📊 协议 vs 无协议：实测对比——同型 3D 任务三会话对比表+ASCI I 图 - 🧪 测量工具——node scripts/measure.mjs 你的会话.jsonl：任何人可对自己会话复算上述指标（脱敏：只输出数字）
Architecture
No architecture has been documented for this signal.
Developer impact
Developer implications have not been assessed yet.
Difficulty has not been estimated yet.
Adoption & momentum
No adoption indicators recorded.
Timeline
First seen by the Astrava pipeline[1]
Limitations & risks
- Analysis Generated from activity metrics only; verify the linked sources before acting on it.
Competing approaches
No competing approaches documented yet.
Who is building on it
No independent projects or organisations are documented as building on this yet.
Evidence & sources
Primary source (1)
Published by the people who built it: release notes, repositories, papers, official docs.
- [1]yjh051108/dsh-routing-suite repository(opens in a new tab)
dsh-routing-suite — injector + router-standard kit: install the runtime injector first, then the task-aware reasoning-mode router preset (measured P1-P23).
Secondary source (0)
Independent reporting, third-party benchmarks, integrations by other projects.
None recorded.
Community signal (0)
Discussion threads and social posts. Evidence of attention, not of correctness.
None recorded.
How the score of 30 was calculated
| Factor | Share of maximum | Points |
|---|---|---|
| NoveltyRubric level 2/4 (Moderate). Heuristic (automated): first published 49 days ago. | 7.5/15 | |
| Technical significanceNot yet assessed. Requires analyst review; not assessed automatically. | 0/15 | |
| Developer relevanceRubric level 1/4 (Low). Heuristic (automated): no installable package detected; developer-facing topic. | 3.8/15 | |
| Adoption velocityIndependent integrations: unknown (0 pts). GitHub stars: 142.9 per day since creation; full marks at 1000/day, log-scaled (3.6/5). | 3.6/10 | |
| Community momentumFewer than three periods of activity data, or no baseline activity to compare against. | 0/10 | |
| Source credibilityPrimary source present; mean source-tier weight 1.00 (primary 1.0, secondary 0.7, community 0.35). | 10/10 | |
| Cross-source confirmationNo independent publisher has confirmed this yet. | 0/10 | |
| Evidence strengthMet 2/4: primary source ✓, runnable artifact (code, weights or package) ✓, reproducible or independent benchmark ?, technical documentation or paper ✗. 1 unknown (scored 0). | 5/10 | |
| Time to impactNo time-to-impact estimate yet. | 0/5 | |
| Hype penaltyNo hype indicators detected. | 0 | |
| Breakout Score | 30 |
Low confidence (0.48) — 60% of measured factors have data. 0 independent non-community publishers. At least one primary source. Evidence strength 5/10. Capped at Low: no independent, non-community source yet.
An analytical ranking derived from observable signals using model breakout-v1.2. It is not a prediction and not a measure of quality. How it works