How to compare similar DSH plugins without feature lists

Two DSH plugins listed on the DSH Plugin market can share a feature paragraph and still differ wildly in what they cost to keep. A framework that compares maintenance, permissions, dependencies and rollback cost answers the questions a feature list never asks.

Feature lists do not rank DSH plugins

A feature list describes what a DSH plugin can do on the day you read it, not what it will cost over the next year.

Feature lists are easy to write and easy to compare, which is exactly why they mislead. They show the surface a plugin presents, not the maintenance behind it or the access it requires. Two entries can advertise identical capabilities while one is actively maintained and the other has not shipped a compatibility fix in months.

The alternative is to score what determines longevity:

1. Maintenance tells you whether the plugin will keep working after the next Harness release.
2. Permissions tell you how much of your environment it can touch.
3. Dependencies tell you how much of someone else's code you are trusting.
4. Rollback cost tells you what happens when the answer changes.

The table below is a reading aid, not a scoring rubric. It lists what to look for and why the signal matters, so a comparison can rest on evidence rather than impressions. Weights are a team decision; the dimensions are not.

Maintenance signals in a DSH plugin market entry

Maintenance is the first filter, because a plugin that stops tracking the runtime becomes a liability regardless of features.

Release cadence is the easiest signal to read and the easiest to overread. Frequent small releases suggest someone is paying attention, while a long silence can mean stability or abandonment. The distinguishing evidence is not the version number but the content: are there compatibility fixes after recent Harness changes?

Issue activity adds context. A repository with recent, answered questions is healthier than one where every report sits untouched. If there is no public repository, the market entry's update time and changelog are the only maintenance evidence you have, and their absence should lower confidence.

Stability deserves its own category. A plugin that adds no features but keeps patching compatibility is stable; one that does neither is stalled. Treating those two as the same thing removes working tools from consideration for no reason.

Permission scope as a DSH plugins selection criterion

Permission scope is the part of a DSH plugins comparison that most often changes the decision.

A plugin that reads one project directory and a plugin that can run shell commands are not interchangeable, even if both summarize code. The second can reach anything the first can, plus whatever the command line reaches. That extra reach has to be justified by a capability you actually need.

Read each scope as a question about blast radius. How much can this plugin read, where can it write, what can it send out, and what can it keep running? The answers do not need to be zero, but they should be small enough that a bug or a bad update stays contained.

When two candidates are close, the narrower scope wins by default. The burden of proof belongs to the plugin asking for more, because the cost of a wrong grant is paid later, quietly, and usually without a prompt. That default is easy to defend and hard to regret.

Dependencies and rollback cost for a DeepSeek Harness plugin

Dependency depth and rollback cost decide how expensive it is to be wrong about a DeepSeek Harness plugin.

Every dependency is another package that can break, lag or disappear. Direct dependencies are visible in the manifest, but indirect ones are where offline installs and audits fail. Native modules raise the cost further, because they bind the plugin to a platform and a build toolchain.

Rollback cost is the dimension teams discover too late. If switching away means rewriting configuration, migrating stored data and editing scripts that reference tool names, then the original choice was a commitment, not a trial. The cheaper the exit, the more safely you can experiment.

A plugin with a clean configuration boundary and no persistent data is easy to remove. One that owns a data directory and exports tool names into automation is not. Neither is disqualifying, but the second should clear a higher bar before it enters daily work.

Applying the DSH plugin selection framework

The framework pays off when it is applied before installation and reread after the next Harness upgrade.

Start by eliminating candidates that fail a hard requirement: no recent compatibility fix, a permission you cannot grant, or a platform the team does not run. A candidate that cannot clear the gate does not need a score. Elimination is cheaper than scoring and removes the temptation to rationalize.

For what remains, write one line of evidence per dimension and a single sentence naming the choice. Keep the rejected alternatives and the reason each lost. A record like that lets a teammate reproduce the decision without reliving the research.

Revisit it when the plugin updates, when the runtime moves, or when a candidate that lost becomes healthier. That is why the record carries a review date instead of a permanent verdict. A selection framework is not a one-time ranking; it is a way to notice when the answer has changed.