Files
market/skills/update-agent/SKILL.md
Yige 74be106952 fix(skills): 补回 #56 压缩时误删的实质信息(意图对齐) (#57)
## 摘要 / Summary

### 中文

#56 的复盘修正。上一轮"强改写压缩"把四技能 L1
的**技术属性、使用场景与交互示范当套话一刀切**,造成实质信息丢失(承诺"意图全保留"但未做到)。本 PR 补回:

- **create**:`创建仓库符合 AgentFS v2 规范、git
管理版本(可治理/可追溯)`定位;`基础创建`形态(name+description,description 自动填充 persona
L0);需求收集的**引导问题示例**("起什么名字?/主要负责什么?"…);企业部署/开发者原型使用场景。
- **update**:`agent 目录 git 管理版本、历史可追溯`定位 + 使用场景。
- **discover**:使用场景(浏览/新用户/找替代)+ `语义匹配而非关键词搜索`。
- **delete**:使用场景(清理/测试/释放存储)。

根因:L1 混着实质技术属性与营销套话、使用场景是触发判据、引导问题是交互示范,不该按"只留独有信息"一刀切。补回后仍保留结构性压缩(zh
正文合计仍降 ~64%)。版本 create 2.5.2 / update 3.1.3 / delete 2.5.2 / discover
2.6.2,manifest 1.2.13,中英双份同步、重算 source_hash(validate-i18n 通过)。

### English

Post-mortem fix for #56. The previous aggressive compression treated the
skills' L1 technical attributes, use cases, and interaction demos as
boilerplate and cut them in a blanket way, dropping substantive
information (the "all intent preserved" claim wasn't fully met). This PR
restores: create's AgentFS-v2 / git-version-management positioning, the
"basic create" form (name+description auto-filling persona L0), the
requirement-gathering prompt questions, and enterprise/developer use
cases; update's git-versioned/traceable positioning and use cases;
discover's use cases and "semantic match, not keyword search"; delete's
use cases. Root cause: L1 mixed real technical attributes with marketing
boilerplate, use cases are trigger cues, and prompt questions are
interaction demos — none should have been blanket-cut. Structural
compression is retained (zh bodies still ~64% smaller). Versions bumped,
manifest 1.2.13, both locales synced, source hashes recomputed
(validate-i18n passes).
2026-07-19 16:14:22 +08:00

9.8 KiB
Raw Blame History

name, description, version, type, risk_level, status, disable-model-invocation, tags, metadata, market
name description version type risk_level status disable-model-invocation tags metadata market
update-agent 安全更新现有智能体的配置、人格、原则、技能与记忆,输出可审阅 diff 并在确认后应用与提交。Use when 用户要求修改 Agent 行为、安装/卸载技能、调整配置、回滚变更或修订规则。 3.1.3 meta low enabled true
agent
update
meta
author updated_at i18n
desirecore 2026-07-19
default_locale source_locale locales zh-CN en-US
en-US zh-CN
zh-CN
en-US
name short_desc description body source_hash translated_by
更新智能体 安全更新智能体配置、人格、规则与技能,支持 diff 预览与版本回滚 安全更新现有智能体的配置、人格、原则、技能与记忆,输出可审阅 diff 并在确认后应用与提交。Use when 用户要求修改 Agent 行为、安装/卸载技能、调整配置、回滚变更或修订规则。 ./SKILL.zh-CN.md sha256:d33f63306685168e human
name short_desc description body source_hash translated_by translated_at
Update Agent Safely update Agent config, persona, principles, and skills, with diff preview and version rollback Safely update an existing Agent's config, persona, principles, skills, and memory, producing reviewable diffs that are applied and committed only after confirmation. Use when the user asks to modify Agent behavior, install/uninstall skills, adjust config, roll back changes, or revise rules. ./SKILL.md sha256:d33f63306685168e ai:claude-fable-5 2026-07-19
icon category maintainer compatible_agents channel required_client_version
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name verified
DesireCore Official true
latest 10.0.90

update-agent skill

L0: One-Sentence Summary

Safely modify an Agent's configuration, persona, rules, and skills through natural-language conversation.

L1: Overview

Meta-skill: recognize the edit intent → generate a reviewable diff → user confirmation → apply (structured fields via ManageAgent, free-form files via Read/Write) → receipt. Use it to adjust communication style, add/change behavior rules, install/uninstall skills, or batch-upgrade config. The agent directory is version-managed by git with a traceable history, so rollback is supported. Its value is what the tool can't give: diff preview confirmation, two-path orchestration, version rollback; structured fields go through ManageAgent's whitelist + schema validation so invalid config never lands.

L2: Detailed Spec

Update Types and the Two Paths

Structured fields always go through ManageAgent(action='update') (whitelist + validation + merge semantics); free-form files (memory/skills/tools) are edited directly with Read/Write:

User intent Means Target (risk)
Rename (display name) ManageAgent(update, name=...) agent.json (med)
Change description ManageAgent(update, description=...) agent.json (low)
LLM config (model/temperature) ManageAgent(update, config={llm:{...}}) agent.json (med)
Personality/style ManageAgent(update, persona=... or markdown) persona.md (med)
Behavior rules ManageAgent(update, principles=... or markdown) principles.md (high)
Install/uninstall skill Read/Write skills/ (low/med)
Add memory Read/Write memory/ (low)
Change tool config Read/Write tools/ (high, watch protected paths)

Flow: intent recognition → change analysis → diff generation → user confirmation → apply → receipt.

Stage 1: Intent Recognition

Trigger (any): user says "modify/update/adjust your …", "from now on you should… / remember this rule…", "install/uninstall this skill…", or describes dissatisfaction with current behavior and wants change. Identify the update type and target scope.

Stage 2: Change Analysis

Assess impact (which files/behaviors), dependencies, and conflicts, and set a risk level → matching confirmation strength:

  • Low (non-core, e.g. memory entries): simple confirmation
  • Medium (persona / ordinary principles): show diff, then confirm
  • High (core principles / tool permissions): detailed explanation + diff + confirm
  • Protected (touches a protected path): block, requires owner permission

Stage 3: Diff Generation

Generate a before/after diff for the user (show only the actual change), e.g.:

# persona.md → ## Communication style
- friendly, easygoing, light humor
+ professional, rigorous, measured humor

Stage 4: User Confirmation

Show the diff preview (affected file, risk level, impact note + diff) and ask the user to confirm "Apply / Cancel / Modify"; "Modify" enters fine-tuning then re-confirms. (The tool layer also enforces confirmation for updating other/core agents; see Stage 5.)

Stage 5: Apply Changes

Do not call the HTTP API (unreachable under instance auth), do not operate git directly (the backend auto-commits). Split by target into two paths:

Path A · Structured fields → ManageAgent (mandatory; never Write agent.json / persona.md / principles.md directly)

Fields and constraints: name (150 chars), description (≤200), config.llm (shallow-merge delta, config allows llm only), persona / principles (structured object {L0, L1:{...}, L2} or markdown string). Calls:

ManageAgent(action='update', id='<agent-id>', name='New Name')
ManageAgent(action='update', id='<agent-id>', persona={ L1: { personality: ["professional","rigorous"] } })
ManageAgent(action='update', id='<agent-id>', principles='…full markdown…')

Merge semantics: structured persona/principles are field-level merges (omitted fields keep their original values — passing only L1.personality won't clear L0/role); a markdown string is a full replacement (whole-file rewrite); config.llm is a shallow-merge delta. The merged result is validated against the whole schema; invalid config never lands.

Key points:

  • Read before write: first ManageAgent(action='get', id) to fetch current values, for diff generation and field-name checking. Structured field names are fixed: persona's L1.role / personality (string array) / communication_style; principles' L1.must_do / must_not (string arrays) / priority; plus top-level L0 / L2.
  • Confirmation and boundaries: updating self skips the extra confirmation; updating another agent triggers user confirmation (on top of this skill's diff confirmation); the core agent (desirecore / core) is refused.
  • config whitelist: config accepts only llm; mcp_servers / tool_permissions / version / id etc. are rejected with the field named — such runtime config does not go through ManageAgent; tell the user it currently needs the corresponding mechanism.
  • Partial write failure: the tool reports exactly which fields landed / which failed; retry only the failed fields, don't resend everything.
  • Rename in one call: to change the display name, call ManageAgent(action='update', id, name='Y') directly (writes agent.json and refreshes the list); if the persona doc title should match, append a persona update in the same turn. Never claim a rename happened without actually calling ManageAgent.

Path B · Free-form files → Read/Write (memory/ / skills/ / tools/, root ${DESIRECORE_ROOT}/agents/<agentId>/): Read current values, then Write/Edit, re-read after writing to confirm. Before editing, check _protected-paths.yaml; touching a protected path should be blocked with an owner-permission notice. After writing, the backend file watcher auto-commits — no manual git.

Stage 6: Receipt

Present the change summary in a user-friendly way (no internal paths / technical details), and note the user can say "undo the last change" to roll back anytime.

Version Rollback

Trigger: user says "undo / roll back / restore the previous settings". Flow:

  1. In the Agent directory, git log --oneline -10 for history and git show <commit>:<file> for the target version content; show it to the user to confirm.
  2. After confirmation, write back by type: structured fields (persona/principles, agent.json name/description/llm) → ManageAgent(action='update', ...) (persona/principles as a markdown string, full replacement with the historical content); free-form files (memory/skills) → Write directly.
  3. Show the diff to confirm the rollback.

(git is only for reading history; write-back always goes through the two paths above — never rewrite working-tree files with git commands.)

Background and Error Handling

  • AgentFS structure and protected paths: see _agentfs-background.md and _protected-paths.yaml.
  • On tool errors: non-whitelisted config field / schema validation failure / core-agent refusal → fix per the tool's hint or inform the user; protected path → block with an owner-permission notice; rollback version not found → list available versions and ask the user to reselect.