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dsh-algo-trainer

ICPC competitive programming training plugin for DeepSeek Harness with submission sync, weakness analysis, and practice plans.

UI & ProductivityDeveloper Tools
0GitHub Stars0ForksUpdated2026-09-18

Install

$ dsh plugin --profile web add dsh-algo-trainer

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
dsh-algo-trainer is a DeepSeek Harness plugin that brings competitive programming training workflows directly into DSH agent sessions. It integrates 13 agent tools (`icpc_*`) and a client sidebar panel to sync submissions from Codeforces and AtCoder, analyze skill gaps, recommend tailored daily problems, schedule spaced repetition reviews, track a 114-lesson algorithm curriculum, and generate structured training plans.

Key Capabilities

  • Incremental submission syncing from Codeforces and AtCoder platforms
  • Pure-function statistical and weakness analysis profiling tags and difficulty gaps
  • Three-tier daily problem recommendations (consolidate, matching, challenge)
  • AI-assisted training plan generation and task check-in management
  • Spaced repetition review scheduling with ladder intervals (1, 3, 7, 14, 30, 60 days)
  • 114-lesson algorithm template curriculum with learning progress tracking
  • Aggregated contest schedules and daily calendar check-in tracking
  • Session-scoped on-demand tool activation with optional dsh-better-sidebar integration

Useful For

  • Competitive programmers tracking training progress and submitting stats from Codeforces and AtCoder
  • Students identifying algorithmic weak spots and receiving daily tailored problem sets
  • AI agents generating customized training curricula and spaced review schedules for ICPC/OI preparation
  • Tracking algorithm template mastery and contest schedules within DeepSeek Harness

Who It Fits

  • ICPC, OI, and LeetCode/CP competitive programmers
  • Algorithm learners and computer science students
  • Developers practicing data structures and algorithms in DeepSeek Harness

Documented Limitations

  • Only supports Codeforces and AtCoder; platforms requiring complex anti-bot or cookies like Luogu and Nowcoder are not supported in the initial version
  • Persists data to local JSON files in $DSH_HOME/.icpc-data/ rather than SQLite
  • Client UI is a static guide without direct client-to-host RPC; all active mutations happen via agent tools in conversation

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 0 runtime, 5 development, 3 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

info
License Not Declared

GitHub did not report an SPDX license for this repository snapshot.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

info
Prepare Script Detected

package.json declares a prepare lifecycle script that may run during relevant package installation workflows.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
ZF3373/dsh-algo-trainer
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
5c15931 · 2026-09-21

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
0GitHub stars
Forks
0
Open issues
0
Last commit
2026-09-18
Last release
No release detected
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