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Agent Guard Dsh — DSH Plugin for DeepSeek Harness
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agent-guard-dsh

Agent Guard Dsh

Destructive-action reliability layer for AI agents on DeepSeek Harness: intercepts Bash before execution, quarantines deletions to .agent-trash/ with a restorable manifest, snapshots git before overwrites, and escalates compound shapes to the human (Decision Protocol: ALLOW / RELOCATE / SNAPSHOT / A

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:mokuyoaxis/agent-guard#173edd8903023d13ba517ce0953570228a819bfe
READMECompatibilityVersions

Description

Destructive-action reliability layer for AI agents on DeepSeek Harness: intercepts Bash before execution, quarantines deletions to .agent-trash/ with a restorable manifest, snapshots git before overwrites, and escalates compound shapes to the human (Decision Protocol: ALLOW / RELOCATE / SNAPSHOT / ASK / BLOCK). Rules live in one Python core shared across harnesses.

Compatibility and provenance

Agent Guard Dsh is published as agent-guard-dsh and currently resolves to version 0.1.1. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
github
Registry updated
8/25/2026

Versions

0.1.1stable
8/25/2026
0.1.0stable
8/22/2026

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Latest
0.1.1
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
Unavailable
Files
Unavailable
Surface
any
License
MIT
Source
github
GitHub
★ 3
Weekly downloads
0
Last push
9/20/2026
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README

agent-guard

Make destructive agent actions reversible by default. 简体中文

Agents increasingly run shell commands autonomously. When the command is rm -rf, a wrong variable or one misjudged context switch is all it takes to lose a repository — or worse. agent-guard makes destruction reversible by default and records durable intent before supported mutations, across any harness that can run Python.

Agent Guard is not an approval system. It is an automatic recovery system with human escalation. The agent works uninterrupted while operations stay reversible; only when the guard cannot safely automate — but user intent may be legitimate — does a decision escalate to a human.

It is reliability infrastructure, not a security sandbox: it defends against mistakes, not against a malicious agent with equal OS privileges.

The four pillars

PillarGuarantee
ScopeWorkspace boundary, .git, and outside paths are never deletable
RecoverabilityDeletions relocate to .agent-trash/ with a manifest; git overwrites snapshot first
AuthorizationSession-scoped capability; a veto downgrades one-way, only humans restore
AuditabilityEnforced verdicts, compensation intents, outcomes, and restores use append-only JSONL; mutation fails closed if its intent cannot be stored

A rule runs through all four: uncertainty increases restriction.

How it decides

The stable interface is not allow/block — it is a Decision Protocol:

Effect → Classifier → Policy → Decision   ∈ { ALLOW, RELOCATE, SNAPSHOT,
                                            ASK, BLOCK }
                                + ReasonCode   (stable, machine-readable)
                                + Explanation  (human-facing)
                                + RecoveryPlan (txids, strategy)
TierDecisionsWhat the agent experiences
SAFEALLOW · RELOCATE · SNAPSHOTRuns silently; compensation applied first; restorable via txid
AMBIGUOUSASKSingle-execution authorization (ASK_ONCE) — e.g. compound shapes the guard cannot safely automate
FORBIDDENBLOCKRefused with reason and remediation; never askable

True effect-uncertainty ($VAR targets, bash -c, find -delete, stdin-fed lists) stays on the BLOCK path: allowing it would forfeit the core guarantee. Adapters map decisions onto their harness natively — DSH PreToolDecision, Claude Code PreToolUse ask, or a deny carrying the explanation where no ask exists.

Quickstart

Zero third-party dependencies. Requirements: Python 3.9+, POSIX shell, git.

# delete something - it is quarantined, not destroyed:
python3 skills/delete-guard/scripts/safe_delete.py build/ --reason "stale"

# inspect and undo:
python3 skills/delete-guard/scripts/status.py
python3 skills/delete-guard/scripts/restore.py list
python3 skills/delete-guard/scripts/restore.py <txid>

# quarantine maintenance (dry plan by default):
python3 skills/delete-guard/scripts/gc.py

Harness adapter - intercept before executing any shell command:

python3 skills/delete-guard/scripts/check.py --enforce -- "$COMMAND"
case $? in 0) run "$COMMAND" ;; 2) refuse ;; 3) ask-the-human ;; esac

What gets protected

rm -rf build/            → RELOCATE  (tree quarantined, command proceeds)
rm -rf .                 → BLOCK     (workspace root)
rm -rf $DIR/             → BLOCK     (unresolvable target: fail closed)
rm *.log                 → BLOCK     (opaque glob; safe_delete expands it)
cd X && rm -rf build     → ASK_ONCE  (COMPOUND_CWD_DELETE)
touch f && rm f          → ASK_ONCE  (COMPOUND_CREATE_DELETE)
git clean -fd            → RELOCATE  (enumerate via -n, relocate, proceed)
git reset --hard         → SNAPSHOT  (stash first, apply to recover)
git push --force         → BLOCK     (remote history is never automated)
node_modules/ (ignored)  → ALLOW     (provably regenerable)
quarantine full          → BLOCK     (never fall back to permanent delete)

Adapters

HarnessStatusMechanism
DSH (DeepSeek Harness)published plugindsh plugin --profile <p> add github:mokuyoaxis/agent-guard — waterfall interception + tools + prompt section
Codexreviewed (gpt-5.6-sol, high); forward-tested at medium, then medium + highdelete-guard skill + CLI under workspace-write; preflight supports a pre-ignored .agent-trash/ when .git is read-only
Claude Codeready (adapters/claude/)PreToolUse hook → permissionDecision allow/ask/deny
OpenCode / MCPplannedonce conformance has proven out twice

Cross-harness guarantee, enforced by tests/test_conformance.py: identical command + cwd + workspace state must produce identical core decision + reason code through any adapter.

Repository layout

agent-guard/
├── skills/delete-guard/   # agent-facing skill: SKILL.md + CLI scripts
├── core/                  # classifier · policy · recovery · audit
├── adapters/claude/       # Claude Code PreToolUse hook adapter
├── tests/                 # unittest suites incl. cross-harness conformance
└── docs/                  # architecture · threat-model · friction log

Skills guide agent behavior; constraints live in Core. Future git-guard, database-guard, cloud-guard skills plug into the same compensation engine without restructuring.

Documentation

ReadFor
docs/architecture.mdpillars ↔ components, data flow, design decisions
docs/threat-model.mdhonest limits: what this is and is not
docs/friction.mdwhat real agents taught us (F1–F9)
skills/delete-guard/references/policy.mdfull rule table and decision codes

Status & roadmap

v0.1.1 is the reliability-hardening candidate after live DSH v0.1.0 usage, an initial fresh Codex forward test at gpt-5.6-sol medium, a high reasoning review, and a second paired forward test at medium and high. It adds write-ahead relocation intents, Git-quoted path safety, fail-closed Git compensation, clean audit preflight under read-only .git, explicit RESTORABLE / RESTORED lifecycle state, and a DSH runtime smoke test. The patch version is deliberate: this covers two reasoning levels but only one model family, so the model/harness validation matrix remains narrow. Next: additional Codex/Claude/DSH models and reasoning levels, Windows dialects (demand-driven), then database-guard / cloud-guard on the same compensation engine.

License

MIT — see LICENSE.