SaaS Metrics
Gemini Executive Synthesis
Interaction between skill injection (skill-catalog) and preset reasoning chains (anchored-standard) in DeepSeek Harness.
Technical Positioning
The anchored-standard preset aims for a 'minimal-aligned bootstrap, then full Standard tools' approach. The issue suggests skill injection disrupts this, reverting to a less desirable reasoning style.
SaaS Insight & Market Implications
This issue identifies a critical conflict: installing any skill in DeepSeek Harness leads to skill-catalog injection, which subsequently invalidates other plugins and degrades the model's reasoning chain. The conversational style reverts to a 'user want' pattern with excessive 'let me' phrases, indicating a loss of the sophisticated 'anchored standard' reasoning. This suggests skill-catalog injection is not gracefully integrated into the preset's two-phase bootstrap, overriding or disrupting the intended advanced tool usage. Such behavior undermines the value of both skills and advanced presets, creating an an unstable and unpredictable user experience. It points to a need for a more controlled and prioritized injection mechanism to maintain consistent reasoning quality.
Proprietary Technical Taxonomy
Raw Developer Origin & Technical Request
GitHub Issue
Aug 15, 2026
Repo: xiaobright/dsh-anchored-standard
如果安装任意skill，dsh会首先注入skill-catalog导致插件失效，思维链变回user want开头，大量let me
No extended description provided in the original source.
Developer Debate & Comments
No active discussions extracted for this entry yet.
Adjacent Repository Pain Points
Other highly discussed features and pain points extracted from xiaobright/dsh-anchored-standard.
Extracted Positioning
Clarification on the scope of 'minimal mode' and 'full tools' in dsh-anchored-standard's two-phase reasoning.
The dsh-anchored-standard preset is defined by its 'two-phase' approach: 'Minimal-aligned bootstrap, then full Standard tools.' The user seeks clarity on when this transition occurs.
Top Replies
如果是这样的话，那么长链路来说不是还跟原本的一样吗，如果我浪费掉了第一轮
应该是session。AI是没有记忆的，所谓上下文窗口是把每次agent全部记录发回去的（所以缓存才有用），也就是session的首token不会变。不过可能压缩后会受到影响，maybe得把压缩工具也优化下，固定保留首次工具调用...
第一次回复后,tool顶层字段会被注入全量工具,此后的ssession都将共享完整工具,具体方式请参考dsh相关代码实现,感谢您的疑问
Extracted Positioning
Persistent reasoning chain behavior in dsh-anchored-standard across multi-turn conversations.
The 'anchored standard' mode is designed for a 'minimal-aligned bootstrap, then full Standard tools,' implying a sustained advanced reasoning state. The issue questions if this state is maintained.
Top Replies
经检查，后续出现let me思维链的对话，满足
请问一下最后输出的效果怎么样，我也遇到过相似的情况，但是最后的效果似乎没有退化
已有类似issue,会在之后的版本中解决,感谢反馈
Extracted Positioning
Proposal for a dsh-anchored-code preset, integrating PTC mode's run_code tool with advanced reasoning chains.
The dsh-anchored-standard preset aims for 'minimal-aligned bootstrap, then full Standard tools.' This proposal extends that concept to specialized code execution, leveraging token efficiency.
Extracted Positioning
The core mechanism of 'anchoring' (achieving desired reasoning chain) in dsh-anchored-standard, specifically the interplay of maxTokens, adapterDefaults, and tool schema.
The dsh-anchored-standard preset aims for a 'minimal-aligned bootstrap, then full Standard tools.' This issue dissects why anchoring fails and identifies tool schema as the critical variable.
Extracted Positioning
Optimizing prompt injection strategy for dsh-anchored-standard to ensure consistent reasoning chains and prevent degradation.
The dsh-anchored-standard preset aims for a 'minimal-aligned bootstrap, then full Standard tools.' This issue proposes a method to achieve a 'pristine' first-round experience, ensuring the desired reasoning style.
Frequently Asked Questions
Market intelligence mapped to Interaction between skill injection (skill-catalog) and preset reasoning chains (anchored-standard) in DeepSeek Harness..
How is Interaction between skill injection (skill-catalog) and preset reasoning chains (anchored-standard) in DeepSeek Harness. positioned in the market?
Based on our AI analysis of the original developer request, its primary technical positioning is: The anchored-standard preset aims for a 'minimal-aligned bootstrap, then full Standard tools' approach. The issue suggests skill injection disrupts this, reverting to a less desirable reasoning style.
How is the developer community reacting to Interaction between skill injection (skill-catalog) and preset reasoning chains (anchored-standard) in DeepSeek Harness.?
Yes, we have tracked 1 direct responses and active debates regarding this specific topic originating from GitHub Issue.
Which technical concepts are associated with Interaction between skill injection (skill-catalog) and preset reasoning chains (anchored-standard) in DeepSeek Harness.?
Our proprietary extraction maps Interaction between skill injection (skill-catalog) and preset reasoning chains (anchored-standard) in DeepSeek Harness. to adjacent architectural concepts including skill installation, skill-catalog injection, plugin失效, 思维链变回user want开头.
Is anyone launching products related to Interaction between skill injection (skill-catalog) and preset reasoning chains (anchored-standard) in DeepSeek Harness.?
Yes, market intelligence reveals commercial overlap. A product named 'DeepSeek-V4' focuses directly on this: The open-source era of 1M context intelligence
Engagement Signals
Cross-Market Term Frequency
Quantifies the cross-market adoption of foundational terms like skill installation and skill-catalog injection by tracking occurrence frequency across active SaaS architectures and enterprise developer debates.