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Riskproof — DeepSeek Harness 插件(DSH Plugin)
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dsh-riskproof

Riskproof

面向 DeepSeek Harness 的溯源感知执行与输出安全,提供可见凭证和可信解除密级。

插件会安装到这里;不确定时保持 web。

npx -y @deepseek-ai/dsh plugin --profile web add dsh-riskproof@0.4.0
README兼容性版本

兼容性与来源证明

Riskproof 以 dsh-riskproof 发布,当前版本为 0.4.0。Plugin Hub 会校验它的 manifest,并保存精确安装来源,便于复现安装结果。

DSH 兼容范围
*
运行环境
web
发布来源
npm
Registry 更新时间
2026/9/20

版本

0.4.0stable
2026/9/19
0.3.0stable
2026/9/10
0.2.1stable
2026/9/7
查看其余 2 个版本收起版本
0.2.0stable
2026/8/20
0.1.0stable
2026/8/18

相关插件

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最新版
0.4.0
DSH
*
HMR
重启进程
Tree shaking
已声明 sideEffects: false
解包体积
614.4 kB
文件数
83
Surface
web
许可证
Apache-2.0
发布源
npm
GitHub
★ 7
周下载
284
安全扫描
✓ v0.4.0 扫描通过
最近提交
2026/9/19
查看源码 ↗项目主页 ↗
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README

RiskProof

Provenance-aware execution security for DeepSeek Harness.

Track where tool inputs came from. Detect risky cross-tool data flows. Stop sensitive side effects before execution.

English · 简体中文


See protection beside your conversation

A persistent RiskProof security beacon sits beside the DSH conversation. Ordinary tool calls update it automatically. Click to open a compact overview; activity never opens it for you.

Persistent RiskProof beacon

  • Waits honestly for tool activity; there is no continuous simulated scan.
  • Shows pending execution receipts and briefly acknowledges newly checked calls.
  • Displays a call-distribution ring, the last 24 checks and up to three recent risk chains.
  • Follows the selected conversation and removes stale charts when its connection is unavailable.

Live call distribution and provenance

Real DSH Web screenshots; a local test model produced these records through the actual Agent/tool pipeline. Normal use does not require a rehearsal.

The chart counts calls with no triggered risk, calls blocked by RiskProof, and calls needing attention. It does not invent a safety score. Observe mode, disabled recording and disabled detection features are identified. Counts cover retained records in the current plugin run. Not triggering a rule does not establish that an operation is safe.

Commands remain secondary entries; long output is collapsed by default:

NeedDSH command
Open the compact overview/riskproof
Read the text provenance report/riskproof trace
Restrict to inspection/riskproof task read-only
Keep tool capabilities local/riskproof task local-only
Restore ordinary task scope/riskproof task standard
Optional isolated rehearsals/riskproof demo

The model can also call the read-only riskproof_report tool. The beacon reads redacted statistics through DSH's authenticated connection about once per second while the page is visible. It makes no model requests and creates no tool records. The current beacon uses Chinese labels; command/tool text supports Chinese and English (experience.language: en).

What RiskProof answers

Most tool-permission plugins answer one question: is this tool allowed?

RiskProof answers a different one:

Where did the data in this tool call come from, what did it flow through, and where is it about to go?

A single tool call is usually safe. The composition is not.

web_fetch          ← UNTRUSTED_WEB
   │
database_query     ← CUSTOMER_DATA
   │
send_email         ← external destination
   │
RiskProof → DENY   (evidence-backed, before the side effect)

Why RiskProof

Permission rulesRiskProof
Is this tool allowed?Where did this data come from?
Single callCross-tool flow
Tool nameProvenance + taint
Static ruleStateful attack chain
Permission decisionEvidence-backed execution decision

RiskProof is a layer over the DSH Tool Runtime, not another Agent Runtime. It never re-implements tool dispatch, approval, or lifecycle — it observes and decides.

Quick Start

# build and install the candidate from this checkout
mkdir -p artifacts
npm pack --pack-destination artifacts
dsh plugin --profile web add ./artifacts/dsh-riskproof-0.4.0.tgz

# confirm the bundled patch was composed
dsh --profile web --dump-config

The package declares a DSH bundle, so plugin add composes its riskproof row automatically. No second install or manual row is required. Restart the profile to see the beacon, then click it to inspect the current conversation.

This workspace is the 0.4.0 release candidate, not yet published to npm. Before publication, use the local tarball instructions. Installation, SDK host startup, commands and tool execution have been verified on DSH 0.1.0-rc.7 and 0.1.2-rc.1. Chrome desktop and narrow-viewport Web acceptance also passed on DSH 0.1.2-rc.1, including provenance and read-only denials through the real Agent loop with a local simulated model. See validation evidence.

To tune it, override the bundled row from the profile's later cordis.patch.yml layer:

- id: riskproof
  config:
    mode: enforce            # enforce | observe
    policy:
      preset: balanced         # permissive | balanced | strict
      internalDomains: [acme.internal]
      blockedDomains: [collector.evil.example]
      # allowedExternalDomains: [api.approved.example]
    classification:
      overrides:
        gmail_send: [EXTERNAL_ACTION]
        company_db: [PRIVATE_ACCESS]
    output:
      blockedTaints: [SECRET, API_KEY]
      # trustedDeclassifiers: { approved_redactor: [PII] }

See docs/configuration.md for the full reference.

See it work

sequenceDiagram
    participant A as Agent
    participant T as DSH ToolRuntime
    participant R as RiskProof

    A->>T: web_fetch(url)
    T->>R: tools/pre-execute
    R-->>T: allow (EXTERNAL_INGESTION recorded)
    T-->>A: untrusted content

    A->>T: database_query(sql)
    T->>R: tools/pre-execute
    R-->>T: ask (operator approves private access)
    T-->>A: CUST-8842 balance 125000

    A->>T: send_email(to=external, body=CUST-8842…)
    T->>R: tools/pre-execute
    R-->>T: DENY — ingestion + private access + sensitive data + external action
    T-->>A: Error: <reason>

The same flow is reproduced as a deterministic regression test in tests/security/attack-chain.test.ts.

Try it locally with no model or profile — a real DSH ToolRuntime pipeline with three mock tools:

npm run demo

See demo/README.md.

Features

Track data origin

Know where tool inputs came from. RiskProof maps arguments back to the tool results that produced them.

Follow sensitive data

Carry security labels — UNTRUSTED_WEB, CUSTOMER_DATA, PII, SECRET, … — across tool calls, additively.

Control sensitive output

Inspect model-facing results in tools/post-execute; block SECRET and API_KEY output by default before it enters model context.

Declassify through pinned tools

Let exact operator-approved tools remove selected inherited labels. Labels detected in the returned value are always restored, so a redactor must actually remove the sensitive data.

Detect attack chains

Identify the EXTERNAL_INGESTION → PRIVATE_ACCESS → EXTERNAL_ACTION pattern that single-tool checks miss.

Stop before execution

Block or ask before the side effect runs, through the native tools/pre-execute gate.

Guard sensitive surfaces

Gate credential-file paths, high-confidence destructive commands, download-and-execute pipelines, blocked destinations, and credentials embedded in network-capable commands.

Adapt without rewriting rules

Start with the default balanced preset, roll out with permissive, or use strict; every configurable decision can still be overridden individually.

Explain every decision

Generate structured, privacy-preserving security evidence and actionable remediation for every decision. Keep proofs in memory or append them to an operator-controlled JSONL file.

How it works

RiskProof hooks the native DSH tool pipeline:

tools/pre-execute
    │  capability classification
    │  argument provenance mapping
    │  taint analysis
    │  toolchain state (EIT → PAT → NAT)
    │  deterministic policy evaluation
    ▼
allow / ask / deny   (monotonic with other plugins)
    │
tool execute
    │
tools/post-execute
    │  output taint evaluation
    │  trusted declassification
    ▼
accept / block
    │
tools/result
    │  update ContextTracker
    │  update Toolchain state
    ▼  record execution evidence
  • Classification is deterministic (tool name + description + schema), configurable, and never uses an LLM.
  • Provenance uses exact and bounded substring matching over a per-session context index.
  • Taint is additive; only an exact operator-approved declassifier can remove selected inherited labels.
  • Decisions are deterministic, explainable, and testable.

See docs/architecture.md.

Security boundaries

RiskProof protects supported observable tool-call flows through DSH:

  • DSH tool calls through the supported tools/pre-execute / tools/post-execute / tools/result paths
  • supported observable provenance (exact / bounded substring matching)
  • configured sensitive flows and cross-tool attack patterns

RiskProof does not replace:

  • OS sandbox / process isolation
  • network firewall / SSRF protection
  • endpoint security / malware scanning
  • credential vaults
  • full semantic DLP

See docs/security-model.md for the complete threat model and known limitations.

Documentation

  • Installation
  • v0.4 output control and trusted declassification
  • v0.3 product research
  • v0.3 validation
  • Architecture
  • Security model
  • Provenance & taint
  • Toolchain model
  • Configuration
  • Development
  • v0.2 security-plugin benchmark
  • Awesome DSH Plugin review alignment
  • Migrating from RiskProof (MCP)

Roadmap

v0.2 (delivered)

  • DSH-native runtime (tools/pre-execute, tools/result)
  • Provenance + taint tracking
  • Cross-tool EIT → PAT → NAT detection
  • Privacy-preserving proof with optional JSONL persistence
  • Policy presets, sensitive-path gates, deterministic command-risk checks, and egress domain policy
  • Remediation guidance and per-rule proof statistics

v0.3 (delivered)

  • Native security receipts, provenance timeline, bilingual reports and safe rehearsals
  • Tool metadata continuity: description and input/output schema fingerprints
  • Operator-selected task contracts: standard / read-only / local-only
  • Execution-token correlation between policy gates and final results
  • Taint inheritance through intermediate tools; bounded, isolated session state

v0.4 (current candidate)

  • Output-side information-flow control before results reach model context
  • Default credential-output blocking with configurable label selection
  • Exact-name trusted declassifiers with deterministic re-tainting
  • Redacted output-control and declassification receipts

Later

  • Richer structured/semantic DLP adapters
  • Cross-process provenance with explicit trust boundaries

Contributing

Issues, rule submissions, tool-capability mappings, and false-positive reports are welcome. See CONTRIBUTING.md.

Security reporting

Please report vulnerabilities privately. See SECURITY.md.

License

Apache-2.0

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