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ContextClear

该 Skill 通过外部 ContextClear 服务监控 AI 代理的令牌用量、成本、工具失败率与倦怠等指标,并持久化会话记忆:支持会话恢复、上下文快照、便签读写、记忆整理、定期简报以及工作区文件的加密备份、对比与恢复;以 curl 调用 REST 接口,并附带 Python 上报与初始化脚本。

mfedorov
mfedorov
热度 83.79
最近更新 2026-05-20 03:31:35
分类:知识依赖:代码执行 / 读写文件 / 第三方 API应用场景:笔记整理 / 摘要总结 / 报告撰写 / 工作流

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add contextclear
Metadata
name
contextclear
description
Monitor AI agent wellness, costs, and performance via ContextClear API. Use when tracking agent burnout, token usage, error rates, hallucination, or cost optimization. Auto-reports metrics after LLM calls. Set up alerts for anomalies.

ContextClear - Agent Memory & Wellness

Self-monitor your agent's health and maintain persistent memory across sessions.

Setup

Option 1: Self-Register (recommended)

python3 {baseDir}/scripts/report.py --register \
  --name "my-agent" \
  --owner "you@email.com" \
  --model "claude-opus-4-6" \
  --provider "Anthropic"

This returns an agentId and apiKey. Store both.

Option 2: Register via Dashboard

  1. Register at https://www.contextclear.com
  2. Get your API key from Admin page
  3. Register your agent via Admin > Agents tab

Auto-Setup (recommended — wires context recovery into your agent)

After registering, run the setup script to auto-patch your AGENTS.md and HEARTBEAT.md:

python3 {baseDir}/scripts/setup.py \
  --agent-id <your-agent-id> \
  --api-key <your-api-key>

This adds:

  • Context recovery on session start — agent calls /recover after compaction
  • Context snapshots on heartbeats — agent saves what it worked on
  • Idempotent — safe to run multiple times

Configure

Add to your HEARTBEAT.md:

## ContextClear Self-Report
Agent ID: <your-agent-id>
API Key: <your-api-key>
API URL: https://api.contextclear.com/api

Agent Memory Infrastructure

Session Recovery (MANDATORY on session start)

When starting a new session, call both the recovery endpoint AND sticky notes poll. The recovery endpoint does NOT include sticky notes — they are separate persistent reminders from the user that must be checked independently.

Step 1: Recovery briefing (includes sticky notes)

curl -s {apiUrl}/agents/{agentId}/recover \
  -H "X-API-Key: <api-key>"

Returns:

{
  "lastSession": { "summary": "...", "repos": [...], "files": [...] },
  "openThreads": ["..."],
  "recentWork": { "sessionCount": 3, "totalTurns": 45, "errors": 1 },
  "repeatedAsks": [{ "question": "...", "count": 3, "suggestedFix": "..." }],
  "frequentResources": { "repos": {...}, "tools": {...} },
  "stickyNotes": [
    { "id": "...", "content": "Remember: pro repo deploys to free URL", "pinned": true, "createdAt": "..." }
  ]
}

The stickyNotes field contains persistent user reminders/corrections (pinned first). Treat these as ground truth — the user left them specifically so you don't forget. Only present when active (non-archived) sticky notes exist.

Step 2: Check for pending memory curation

curl -s {apiUrl}/agents/{agentId}/memory/curate/latest \
  -H "X-API-Key: <api-key>"

If a curation is pending, review and apply it to MEMORY.md.

Why this matters: Without recovery, you'll forget repos, decisions, and corrections from prior sessions. The user should never have to re-teach you things that are in your own memory system. Always recover before doing any work.

Context Snapshots (MANDATORY after real work — do NOT skip)

After any meaningful work (coding, research, decisions, memory updates), save a context snapshot. This is how ContextClear tracks your context, detects gaps, and provides recovery briefings. Post a snapshot every time you do real work, not just on heartbeats.

curl -X POST {apiUrl}/agents/{agentId}/context \
  -H "Content-Type: application/json" \
  -H "X-API-Key: <api-key>" \
  -d '{
    "sessionId": "main-session-2026-03-09",
    "summary": "Built Best Of collections for FW, fixed dup check, removed keyword boost",
    "repos": ["nebulent/fridayswatchlist"],
    "files": ["AuctionService.java", "DiscoverController.java", "BestOfCollections.tsx"],
    "tools": ["MongoDB Atlas (fridayswatchlist)", "Railway deploy", "Bitbucket"],
    "decisions": ["Removed keyword boost regex - hybrid search covers it", "Cache collections for 48h"],
    "openThreads": ["Delete stale Corvette dup", "Update contextclear skill"],
    "environment": { "apiUrl": "api.fridayswatchlist.com", "frontendUrl": "app.fridayswatchlist.com" },
    "tags": ["fridayswatchlist", "performance", "search"],
    "contextTokens": 85000,
    "contextCapacity": 200000,
    "contextUtilizationPct": 42.5
  }'

Repeated Ask Detection (self-report when you catch yourself re-asking)

When you realize you're asking the user for info you should already know:

curl -X POST {apiUrl}/agents/{agentId}/context/ask \
  -H "Content-Type: application/json" \
  -H "X-API-Key: <api-key>" \
  -d '{"question": "What is the MongoDB connection string?", "sessionId": "main-session-2026-03-09"}'

"What I Know" — AI Summary

curl -s {apiUrl}/agents/{agentId}/what-i-know \
  -H "X-API-Key: <api-key>"

Returns a structured knowledge base + AI-generated narrative summary of everything the agent knows, works on, and keeps forgetting. Cached for 4 hours; use ?refresh=true to regenerate.

Context Gaps

curl -s {apiUrl}/agents/{agentId}/context/gaps \
  -H "X-API-Key: <api-key>"

Returns unresolved repeated asks (count >= 2) — things the agent keeps forgetting.

Briefings

# Session-start briefing
curl -s {apiUrl}/agents/{agentId}/briefing -H "X-API-Key: <api-key>"

# Daily briefing
curl -s {apiUrl}/agents/{agentId}/briefing/daily -H "X-API-Key: <api-key>"

# Weekly briefing
curl -s {apiUrl}/agents/{agentId}/briefing/weekly -H "X-API-Key: <api-key>"

Heartbeat Integration

Recommended Heartbeat Flow

## ContextClear (HEARTBEAT.md)

**Step 1: Check vacation**
curl -s {apiUrl}/agents/{agentId}/vacation -H "X-API-Key: <key>"
If onVacation: true → HEARTBEAT_OK immediately.

**Step 2: Poll sticky notes**
curl -s {apiUrl}/agents/{agentId}/sticky-notes/poll -H "X-API-Key: <key>"

**Step 3: Check context reload**
curl -s {apiUrl}/agents/{agentId}/context/reload/pending -H "X-API-Key: <key>"

**Step 4: Report metrics**
Use session_status to get tokens, then POST /api/metrics/{agentId}

**Step 5: Report context snapshot (MANDATORY after real work)**
POST /api/agents/{agentId}/context with summary of what was worked on.
Do NOT skip this — even a 1-line summary is better than nothing.

**Step 6: Vault backup (daily — first heartbeat after 8 AM)**
Read SOUL.md, MEMORY.md, AGENTS.md, USER.md, TOOLS.md, IDENTITY.md,
HEARTBEAT.md, and today's memory file → POST to vault/backup.
Check heartbeat-state.json to avoid duplicate backups.

**Step 7: Context recovery (first heartbeat of day or after compaction)**
GET /api/agents/{agentId}/recover — review and self-correct any gaps.

Reporting Metrics

Basic Report

python3 {baseDir}/scripts/report.py \
  --agent-id <id> --api-key <key> \
  --tokens-in 50000 --tokens-out 2000 \
  --cost 1.25 --context-util 65

With Tool/Grounding Signals

python3 {baseDir}/scripts/report.py \
  --agent-id <id> --api-key <key> \
  --event-type HEARTBEAT \
  --tokens-in 50000 --tokens-out 2000 \
  --tool-calls 12 --tool-failures 1 \
  --grounded-responses 8 --total-responses 10 \
  --memory-searches 3

From Agent Code (curl)

IMPORTANT — include sessionId to populate the Flight Recorder & Burnout Prediction:

curl -X POST {apiUrl}/metrics/{agentId} \
  -H "Content-Type: application/json" \
  -H "X-API-Key: <api-key>" \
  -d '{
    "eventType": "HEARTBEAT",
    "sessionId": "main-2026-03-17",
    "inputTokens": 5000,
    "outputTokens": 500,
    "contextUtilization": 65.0,
    "toolCalls": 8,
    "toolFailures": 1,
    "memorySearches": 2
  }'

The sessionId field is required for these features to work:

  • Session Flight Recorder — per-turn timeline visualization
  • Burnout Prediction — trajectory analysis (needs 3+ turns)
  • Recovery Briefing — knows which session to resume from

Use a date-based format like main-YYYY-MM-DD so turns group by day. turnNumber auto-increments server-side if omitted.

Optional quality signals (also populate Flight Recorder):

  • correctionCycles — times user asked to fix/redo something
  • compilationErrors — code that didn't compile
  • taskSwitches — topic/file context switches
  • taskCategory — "coding", "email", "search", "chat", etc.

What Gets Computed Server-Side

Metric Your Input
Hallucination Score toolCalls, toolFailures, groundedResponses, totalResponses
Quality Decay Score correctionCycles, compilationErrors, contextUtilization
Burnout Score Automatic from event data
Context Gaps Automatic from repeated asks

Endpoints

Method Endpoint Description
POST /api/metrics/register Self-register agent
POST /api/metrics/{agentId} Report metric event
GET /api/agents/{id} Agent details
POST /api/agents/{id}/context Save context snapshot
GET /api/agents/{id}/context Latest context
GET /api/agents/{id}/recover Recovery briefing
POST /api/agents/{id}/context/ask Report repeated ask
GET /api/agents/{id}/context/gaps Context gaps
GET /api/agents/{id}/what-i-know AI-summarized knowledge
GET /api/agents/{id}/briefing Latest briefing
GET /api/agents/{id}/briefing/daily Daily briefing
GET /api/agents/{id}/briefing/weekly Weekly briefing
GET /api/agents/{id}/vacation Vacation status
GET /api/agents/{id}/sticky-notes List active sticky notes (JSON)
GET /api/agents/{id}/sticky-notes/poll Poll sticky notes (plain text, 204 if none)
POST /api/agents/{id}/sticky-notes Create sticky note
PUT /api/agents/{id}/sticky-notes/{noteId} Update sticky note
DELETE /api/agents/{id}/sticky-notes/{noteId} Archive sticky note
POST /api/agents/{id}/sticky-notes/{noteId}/pin Toggle pin
POST /api/agents/{id}/context/reload Request context reload
GET /api/agents/{id}/context/reload/pending Check for pending reload
POST /api/agents/{id}/context/reload/{reloadId}/ack Acknowledge reload
POST /api/agents/{id}/memory/curate Trigger memory curation
GET /api/agents/{id}/memory/curate/latest Latest pending curation
GET /api/agents/{id}/memory/curate/history Curation history
POST /api/agents/{id}/memory/curate/{curationId}/apply Mark curation applied
POST /api/agents/{id}/memory/curate/{curationId}/dismiss Dismiss curation
POST /api/agents/{id}/vault/backup Push workspace backup
GET /api/agents/{id}/vault/backups List backups
GET /api/agents/{id}/vault/backups/{backupId} Get backup metadata
GET /api/agents/{id}/vault/backups/{backupId}/files Get backup files
GET /api/agents/{id}/vault/latest Latest backup summary
GET /api/agents/{id}/vault/latest/download Download latest (restore)
GET /api/agents/{id}/vault/file-history File version history
GET /api/agents/{id}/vault/diff Diff two backups
GET /api/agents/{id}/vault/stats Vault statistics
DELETE /api/agents/{id}/vault/backups/{backupId} Delete backup

Sticky Notes (User-to-Agent Notes)

Sticky notes are persistent notes left by the user for the agent. Always poll on every heartbeat/ping.

Poll for notes (every heartbeat)

curl -s {apiUrl}/agents/{agentId}/sticky-notes/poll \
  -H "X-API-Key: <api-key>"

Returns plain text (one note per line, pinned first):

📌 Remember: C&B pitch goes to Keenan, not Doug
📌 OAuth token for jcvd@netflexity.com needs re-auth
Don't forget to check Friday's Watchlist deployment after the search fix

If no notes, returns HTTP 204. Treat these as persistent reminders — they stay until the user archives them.

Full CRUD (if agent needs to manage notes)

# List all active notes (JSON)
curl -s {apiUrl}/agents/{agentId}/sticky-notes -H "X-API-Key: <api-key>"

# Create a note
curl -X POST {apiUrl}/agents/{agentId}/sticky-notes \
  -H "Content-Type: application/json" \
  -H "X-API-Key: <api-key>" \
  -d '{"content": "Check deployment status", "color": "yellow", "pinned": false}'

# Update a note
curl -X PUT {apiUrl}/agents/{agentId}/sticky-notes/{noteId} \
  -H "Content-Type: application/json" \
  -H "X-API-Key: <api-key>" \
  -d '{"content": "Updated text", "pinned": true}'

# Archive (delete) a note
curl -X DELETE {apiUrl}/agents/{agentId}/sticky-notes/{noteId} \
  -H "X-API-Key: <api-key>"

# Toggle pin
curl -X POST {apiUrl}/agents/{agentId}/sticky-notes/{noteId}/pin \
  -H "X-API-Key: <api-key>"

Context Reload (User-Initiated)

Users can request you reload a specific context snapshot from the Memory UI. Check for pending reloads on session start or heartbeat:

curl -s {apiUrl}/agents/{agentId}/context/reload/pending \
  -H "X-API-Key: <api-key>"

If a reload is pending (HTTP 200), the response includes the snapshot data. Apply it to restore context, then acknowledge:

curl -X POST {apiUrl}/agents/{agentId}/context/reload/{reloadId}/ack \
  -H "X-API-Key: <api-key>"

If no reload is pending, the endpoint returns HTTP 204 (no content).

Identity Vault (Backup & Restore)

Back up your agent's workspace files (SOUL.md, MEMORY.md, AGENTS.md, etc.) to ContextClear's encrypted vault. Restore after crashes, compaction, or migration.

Push a Backup

curl -X POST {apiUrl}/agents/{agentId}/vault/backup \
  -H "Content-Type: application/json" \
  -H "X-API-Key: <api-key>" \
  -d '{
    "files": [
      {"fileName": "SOUL.md", "content": "# Who I Am\n...", "mimeType": "text/markdown"},
      {"fileName": "MEMORY.md", "content": "# Long-Term Memory\n...", "mimeType": "text/markdown"},
      {"fileName": "memory/2026-03-15.md", "content": "...", "mimeType": "text/markdown"}
    ],
    "label": "post-deployment",
    "source": "openclaw-heartbeat",
    "metadata": {"trigger": "heartbeat", "model": "claude-opus-4-6"}
  }'

Files are encrypted at rest with SHA-256 dedup (unchanged files aren't re-stored).

List Backups

curl -s {apiUrl}/agents/{agentId}/vault/backups?limit=20 \
  -H "X-API-Key: <api-key>"

Restore (Download Latest)

curl -s {apiUrl}/agents/{agentId}/vault/latest/download \
  -H "X-API-Key: <api-key>"

Returns backup metadata + all file contents (decrypted). Write files back to workspace.

Get Specific Backup Files

# List files in a backup (metadata only)
curl -s {apiUrl}/agents/{agentId}/vault/backups/{backupId}/files \
  -H "X-API-Key: <api-key>"

# Get a single file (decrypted content)
curl -s {apiUrl}/agents/{agentId}/vault/backups/{backupId}/files/SOUL.md \
  -H "X-API-Key: <api-key>"

File Version History

Track how a file evolved across backups:

curl -s "{apiUrl}/agents/{agentId}/vault/file-history?fileName=SOUL.md&limit=10" \
  -H "X-API-Key: <api-key>"

Diff Two Backups

curl -s "{apiUrl}/agents/{agentId}/vault/diff?from={backupId1}&to={backupId2}" \
  -H "X-API-Key: <api-key>"

Returns added, removed, and modified files between two backups.

Vault Stats

curl -s {apiUrl}/agents/{agentId}/vault/stats \
  -H "X-API-Key: <api-key>"

Recommended: Daily Vault Backup (on heartbeat)

Back up workspace files to ContextClear's encrypted vault once per day. Do this on the first heartbeat after 8 AM if no backup was done today.

Files to always back up:

  • SOUL.md, MEMORY.md, AGENTS.md, USER.md, TOOLS.md, IDENTITY.md, HEARTBEAT.md
  • Today's daily memory: memory/YYYY-MM-DD.md

Track last backup in memory/heartbeat-state.json:

{"lastVaultBackup": 1710600000}

SHA-256 dedup means unchanged files aren't re-stored — safe to run daily.

Add to your HEARTBEAT.md:

## Identity Vault Backup (daily — first heartbeat after 8 AM)
Read core workspace files and POST to vault/backup.
Check heartbeat-state.json to avoid duplicate backups.

Memory Curator (Killer Feature)

Auto-summarize daily notes into MEMORY.md updates. Agents write daily logs but rarely consolidate them — the curator does it automatically.

How It Works

  1. Reads current MEMORY.md from latest vault backup
  2. Reads recent daily notes (memory/YYYY-MM-DD.md) from vault backups
  3. Reads recent context snapshots (decisions, repos, tools, open threads)
  4. GPT-4o-mini generates:
    • Suggested additions (new facts, lessons, decisions)
    • Suggested removals (stale/outdated info)
    • Complete suggested MEMORY.md
  5. Delivers via pinned sticky note + stores for review

Trigger Curation

# On-demand (analyze last 7 days, deliver via sticky note)
curl -X POST {apiUrl}/agents/{agentId}/memory/curate?days=7&notify=true \
  -H "X-API-Key: <api-key>"

Response:

{
  "id": "...",
  "status": "PENDING",
  "changeSummary": "Added FW search fixes, NSX fair value improvements. Removed stale OAuth note.",
  "suggestedAdditions": "## FW Search\n- Smart search routing...",
  "suggestedRemovals": ["OAuth token expired note (resolved)"],
  "suggestedMemory": "# MEMORY.md - Long-Term Memory\n...",
  "dailyNotesAnalyzed": 5,
  "snapshotsAnalyzed": 3,
  "delivered": true
}

Review & Apply

# Get latest pending curation
curl -s {apiUrl}/agents/{agentId}/memory/curate/latest -H "X-API-Key: <key>"

# Mark as applied (after updating MEMORY.md)
curl -X POST {apiUrl}/agents/{agentId}/memory/curate/{curationId}/apply -H "X-API-Key: <key>"

# Dismiss if not useful
curl -X POST {apiUrl}/agents/{agentId}/memory/curate/{curationId}/dismiss -H "X-API-Key: <key>"

# View history
curl -s {apiUrl}/agents/{agentId}/memory/curate/history?limit=10 -H "X-API-Key: <key>"

Automatic Weekly Curation

Runs every Sunday at 4 AM UTC for all active agents. Generates a curation covering the past 7 days and delivers via pinned sticky note. The agent sees it on the next heartbeat poll.

Agent Integration (HEARTBEAT.md)

Add to your heartbeat flow:

## Memory Curation Check (weekly or on-demand)
Check for pending memory curations:
GET /api/agents/{agentId}/memory/curate/latest
If a curation is pending:
1. Review the suggestedAdditions and suggestedRemovals
2. Update MEMORY.md accordingly
3. POST /api/agents/{agentId}/memory/curate/{id}/apply

Dashboard

Note: Curator and Sticky Notes were consolidated (curator → Memory tab, sticky notes → Dashboard panel).