@0avatar0/dsh-ai-book-shelf

AI Book Shelf / AI 书架：书籍与论文阅读、AI 解释、全文搜索、论文翻译与中英对照

Ecosystem pluginKnowledgeContentWeb search

Verification

L5 · Ecosystem plugin

Ecosystem plugin

Risk

Pending

Health

Active

Trust

Bronze

Install verification: Ecosystem plugin: installs via dsh plugin add but declares no dsh.bundle and mounts no plugin capability — the L1-L5 install ladder does not rate it; the security scan still runs.Install verification details →

What it does

AI Book Shelf / AI 书架：书籍与论文阅读、AI 解释、全文搜索、论文翻译与中英对照

Installation

dsh plugin --profile web add dsh-ai-book-shelf

Install method: npm · runtime test inconclusive (L5 unknown)

Verification & Compatibility○ Ecosystem plugin

Grouped by plugin version: each card lists the dsh versions actually tested against that artifact version and their install verdicts (L5 wins). Untested combinations are omitted — absence means untested, never assumed compatible. L1–L3 are a plugin-level static archive (independent of the dsh version — the same verdict on every dsh row): they sit in each row's level grid next to L4/L5, marked "static", while their evidence is stored once per plugin inside that row's "checks & evidence" instead of being duplicated per version.

External credentials (plugin-level): none detected

Declared DSH compatibilityfrom package.json · peerDependencies

package manifest not collected

package manifest not collected — the declared range is unknown.

Install compatibility matrix (rows = plugin versions〔latest 5〕, columns = dsh versions〔latest 5〕)

○ Ecosystem plugin

At-a-glance → evidence in the cards below

plugin ＼ dsh	dsh 0.2.1-rc.2 current
v2.5.1	○

Install compatibility (by plugin version, dsh versions within)

Legend:✓ L5 runtime verified○ ecosystem plugin◼ ecosystem app✗ failed

v2.5.1github○ 1 ecosystem plugin2026-10-24

https://github.com/0avatar0/dsh-ai-book-shelf

○dsh 0.2.1-rc.2current2026-10-24Ecosystem plugin

Environment & artifact

• Node.js: v24.14.0
• DSH: 0.2.1-rc.2
• Plugin artifact: github · https://github.com/0avatar0/dsh-ai-book-shelf#v2.5.1

Levels (L1–L3 plugin-level static archive · L4/L5 newest real verdicts for this combination)

L1 static

Passed

L2 static

Passed

L3 static

Passed

L4 sandbox

Passed

L5 runtime

Not tested

Install test ran: the package installs but declares no dsh.bundle and mounts no capability — an ecosystem plugin, not a usable dsh plugin (shown as L5 · ecosystem plugin)

Ecosystem plugin

ID: dsh-ai-book-shelf@v2.5.1@dsh0.2.1-rc.2 · profile: l4-sandbox

Issued: 2026-10-24 · expires: 2026-10-31

View checks & evidence

L1 · Found✓ Passed

↳ carried from earlier record dsh-ai-book-shelf@v2.5.1@dsh0.2.1-rc.2 (l4-sandbox)

Defaulted from L3L1.0_DEFAULTED_FROM_L3✓ Passed

defaulted to passed — L3 install spec passed (full-registry L3 sweep policy)

L2 · Structured✓ Passed

↳ carried from earlier record dsh-ai-book-shelf@v2.5.1@dsh0.2.1-rc.2 (l4-sandbox)

Defaulted from L3L2.0_DEFAULTED_FROM_L3✓ Passed

defaulted to passed — L3 install spec passed (full-registry L3 sweep policy)

L3 · Install spec✓ Passed

↳ carried from earlier record dsh-ai-book-shelf@v2.5.1@dsh0.2.1-rc.2 (l4-sandbox)

Install command parsedL3.1_INSTALL_COMMAND_PARSED✓ Passed

Source: registry verification · Method: install spec parse · Captured 2026-10-24

DSH version declaredL3.2_DSH_VERSION_DECLARED✓ Passed

Source: registry verification · Method: DSH version declaration · Captured 2026-10-24

L4 · Install tested✓ Passed

Install executed in confined sandboxL4.1_INSTALL_EXECUTED_CONFINED✓ Passed

Source: Windows ACL sandbox · Method: sandbox install run · Captured 2026-10-24

spec github:0avatar0/dsh-ai-book-shelf#v2.5.1 · channel GitHub source · outcome ran · exit 0

check took: 1.8s

Install succeededL4.2_INSTALL_SUCCESS✓ Passed

Source: Windows ACL sandbox · Method: sandbox install run · Captured 2026-10-24

spec github:0avatar0/dsh-ai-book-shelf#v2.5.1 · channel GitHub source · outcome ran · exit 0

check took: 1.8s

Installed artifact confirmedL4.3_ARTIFACT_CONFIRMED✓ Passed

Source: Windows ACL sandbox · Method: sandbox install run · Captured 2026-10-24

spec github:0avatar0/dsh-ai-book-shelf#v2.5.1 · channel GitHub source · outcome ran · exit 0

check took: 1.8s

L5 · Run tested– Not tested

This level was not executed in this scan.

L1–L3 are plugin-level static conclusions (baseline, identical across dsh versions): evidence is stored once per plugin.

Only the latest 3 published versions are shown; source-snapshot (commit hash) groups, unstated groups and older versions are omitted — the full archive stays in the data layer (snapshot/unstated groups appear only when a plugin has no published version).

Author badges

Embed the official badges in your README to showcase security & install-test status:

Security Report

Two automated layers, neither a manual review: a static scan (per-plugin rule checks) and a model-driven dynamic security audit that covers only the subset static-flagged at warn or above and never executes plugin code.

dsh-ai-book-shelfAutomated review · daily

Static n/a; dynamic no conclusion (static stands) → overall low.

no static verdict→dynamic no conclusion→overall low

static findings0 critical·0 high·— files scanned

lowoverall · low

1static scandeterministic rules · no code execution · shape only

Version binding

plugin version—

scanned version—

current versionv2.6.11

The scan result is valid for the scanned commit. New commits within 7 days are tolerated (the rating still counts); after 7 days without a rescan the badge shows outdated.

2dynamic auditmodel reads redacted source context · never executes plugin code

not in the dynamic queue (the queue only covers plugins whose static tier is medium or above — medium/high/critical; since 2026-10-24 entries rated low are not audited even when dsh-only rules logged warnings) — this does not mean the dynamic audit found it safe.

Rule (2026-10-24): when a dynamic conclusion exists it is authoritative (it may raise or lower the level); without one, the static/vet fused tier applies. The audit never writes the exemption list (exemptions are manual only); a wrong conclusion is withdrawn by human review and the tier falls back to static/vet.

Disclaimer: the static scan and the dynamic security audit are both automated analysis, not a security guarantee. Always review what you install.

Activity

Last commit 2026-10-24 · activity: Active

• Repo created: 2026-10-23

• Stars: ★ 0 · Forks: 0

• Health: Active — committed within last 30 days

Source

GitHub: github.com/0avatar0/dsh-ai-book-shelf

Plugin notes

What is @0avatar0/dsh-ai-book-shelf?

@0avatar0/dsh-ai-book-shelf is an ecosystem plugin maintained by @0avatar0: it installs via dsh plugin add but declares no dsh.bundle and mounts nothing — installing it adds no plugin capability; use the source repository directly. It is cataloged on dsh.so as a Knowledge entry, with a public source repository and automated static security scan.

How do I install @0avatar0/dsh-ai-book-shelf?

This is an ecosystem plugin: it installs via dsh plugin add but declares no dsh.bundle and mounts nothing — installing one adds no plugin capability; use the source repository directly. Its level reads L5 · Ecosystem plugin; the security scan still runs.

How does the security scan relate to a manual audit?

Both layers are automated, not a manual audit: the static scan is heuristic analysis of the repository source (it can produce false positives and miss context), and the dynamic security audit has a model read the harvested source context with secret files stripped and content redacted inline — plugin code is never executed. The dynamic audit only covers plugins static-flagged at warn or above; when it reaches a conclusion that conclusion is authoritative for the combined verdict — it may raise or lower it — and the static/vet fused verdict applies only when there is none. Exemptions stay manual: the audit never writes the suppression list. Neither layer is a manual security audit or an endorsement; before using a plugin, review the repository and installed permissions, and combine both with the verification level (L4/L5) and health signals.

"DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI. It uses an architecture where everything is a plugin, and is powered by Cordis."
— DeepSeek Harness README

Sources: GitHub repository · DeepSeek Harness README · security scan data · Maintained by dsh.so · Last updated 2026-10-24

@0avatar0/dsh-ai-book-shelf

What it does

Installation

Verification & Compatibility○ Ecosystem plugin

Author badges

Security Report

Activity

Source

Author README