dsh-xray

X-ray for your DeepSeek Harness — see what's actually loaded, why, and what it costs you.

🇨🇳 中文文档

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The Problem

dsh --dump-config shows you the composed tree. The plugin panel shows you a flat list. Neither tells you why a plugin is there, what breaks if you disable it, or what it silently costs you.

dsh-xray does.

Static commands work even when dsh cannot boot; deps/health/cost/shadow and the agent tool need the plugin mounted.

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npx dsh-xray attribute   # which layer introduced each row, and who patched it since
npx dsh-xray conflicts   # rows whose fields have multiple writers, and who wins
npx dsh-xray diff        # declared (static layers) vs actual (dump-config) tree
npx dsh-xray snapshot    # content-addressed lockfile of the effective composition
npx dsh-xray deps [svc]  # service dependency graph: providers, consumers, disable-cascade
npx dsh-xray health      # plugin lifecycle health: failed fibers, pending injects, transitions
npx dsh-xray cost        # context cost: prompt sections + tool schemas, estimated tokens
npx dsh-xray shadow      # services provided by multiple plugins
npx dsh-xray audit       # static scan of out-of-tree plugins for sensitive touchpoints

🔍 Layer Attribution

Which layer introduced each active plugin: kernel bundle, profile dependency, cordis.patch.yml insert, or repository source.

📊 Declared vs. Actual Diff

Installed-but-inactive, uninstalled-but-lingering patch rows — all surfaced.

⚡ Conflict Detection

Plugins patching the same config row, and which one silently wins.

📸 Composition Snapshot

Export the effective composition as a lockfile; reproduce it elsewhere.

🌐 Service Dependency Graph

Who provides and consumes each service; what cascades if you disable X.

💊 Runtime Health

Per-plugin fiber lifecycle state, startup failures, transition history.

🤖 Agent Self-Introspection

The xray_composition tool lets agents inspect their own capability set.

🖥️ Web Panel

Mounted in dsh web, the plugin serves a zero-dependency panel at /xray — summary, health, deps (with the disable-cascade table), cost, and shadow views, live from the running composition. JSON endpoints under /xray/api/* serve the same data.

What every request actually carries — prompt sections observed at assembly, blended with tool schemas:

$ npx dsh-xray cost
~1625 tokens: 1 tool schema(s) ~121 + 19 prompt section(s) ~1504

# prompt sections (observed at last assembly):
app:web-surface                  ~248     15.3%   ████████
tool:goal                        ~184     11.3%   ██████
tool:ralph                       ~109     6.7%    ███
harness:source                   ~94      5.8%    ███
...

And when a patch row targets an id that doesn't exist (dsh skips it silently), diff catches it:

🛡️ Capability Audit

Heuristic static scan: network egress, shell, filesystem, env, eval.

Mounted in the tree, dsh-xray registers an xray_composition tool (view: summary | deps | health | cost | shadow), so an agent can answer:

"What capabilities do I have?" / "What plugin provides X?" / "Why is Y unavailable?"

— about itself.

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dsh-xray reads; it never runs.

• Loader !!js expressions in patch files are parsed as opaque markers and never evaluated
• The CLI never executes plugin code (audit is a pattern scan over source text)
• The mounted plugin writes only under $DSH_HOME/xray/
• See SECURITY.md

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dsh plugin --profile web add dsh-xray

All commands take --profile (default web) and --json.

Command	Behavior
diff	Exits 1 when the trees disagree
health	Exits 1 when any plugin is unhealthy
attribute, conflicts, snapshot	Fully static — work even when dsh cannot start
deps, health	Read runtime snapshot at $DSH_HOME/xray/runtime.json

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Diagnostic imaging for a running composition — complementary to dsh-doctor (rescue & recovery).

Feature	Category
Layer attribution	🔍 Inspection
Declared vs. actual diff	🔍 Inspection
Conflict detection	🔍 Inspection
Composition snapshot	📦 Export
Service dependency graph	🌐 Runtime
Runtime health	🌐 Runtime
Agent self-introspection	🤖 AI
Capability audit	🛡️ Security
Service shadowing	🌐 Runtime
Context cost	💰 Optimization

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License

MIT