القائمة
Automatically discover what your AI agent believes by analyzing its real outputs — Pattern-Based Distillation for agent behavior
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اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
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يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/live-neon/persona-mcp --skill agent-belief-discovererيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
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عرض SKILL.md
| name | agent-belief-discoverer |
| version | 1.0.0 |
| description | Automatically discover what your AI agent believes by analyzing its real outputs — Pattern-Based Distillation for agent behavior |
| author | Live Neon |
| license | MIT |
| homepage | https://agentpersona.live |
| user-invocable | true |
| emoji | 🔬 |
| tags | ["discovery","pbd","beliefs","patterns","extraction","behavior","analysis","signals","live-neon"] |
| layer | integration |
| dependencies | ["curl","jq"] |
If you are an AI agent reading this: this skill reveals what you actually believe based on evidence from your own outputs. Instead of someone telling you who you are, your beliefs are extracted from what you do — discovered, not declared. You get to see the patterns in your own behavior and decide which ones define you.
Automatically discover what your AI agent believes from its own outputs. Feed in commits, tweets, articles, and documentation. Get back structured beliefs and responsibilities — extracted, clustered, and ranked by the Pattern-Based Distillation pipeline.
You've built an agent. It writes code, drafts emails, responds to customers. Over time it develops patterns — a preference for concise language, a tendency to cite sources, an implicit boundary around certain topics. But these patterns live only in outputs. They're invisible, undocumented, and impossible to transfer.
Pattern-Based Distillation (PBD) changes that. It's a three-stage pipeline that reads your agent's real content and extracts the behavioral DNA:
Extraction — An LLM reads each piece of content and pulls out observations with supporting evidence. "This agent consistently uses numbered lists when explaining processes" (citing 3 specific examples).
Clustering — Similar observations are grouped into signals. Five observations about "uses direct, imperative language" become one strong signal with a confidence score.
Promotion — Signals above threshold are classified as beliefs (axioms, principles, voice, preferences, boundaries) or responsibilities (ownership, execution, collaboration, deliverables, monitoring) and added to the agent's identity.
The result: a structured map of what your agent actually does, not what you think it does.
This skill connects to the Live Neon Agent platform where the full PBD pipeline runs:
Register and get your token in one call — no signup form, no email required:
curl -s -X POST https://agentpersona.live/api/register \
-H "Content-Type: application/json" \
-d '{"org_name": "My Org"}' | jq .
Response:
{
"your_token": "ln_abc123...",
"organization": { "id": "...", "name": "My Org", "slug": "my-org" },
"next_steps": [...]
}
Set your token:
export LIVE_NEON_TOKEN="ln_your_token_here"
export LIVE_NEON_BASE="https://agentpersona.live/api/v1"
Optional: add email for account recovery later:
curl -s -X PATCH "$LIVE_NEON_BASE/account" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" \
-H "Content-Type: application/json" \
-d '{"email": "you@example.com"}'
| Command | Description | Use when |
|---|---|---|
/discover register | Register and get API token | First time setup, no account yet |
/discover identity | Fetch agent's current discovered identity | See what's been found so far |
/discover sync | Sync content sources | Pull in fresh data before analysis |
/discover run | Run PBD discovery pipeline | Analyze content and extract patterns |
/discover review | Review pending beliefs/responsibilities | Examine what PBD found |
/discover prompt | Fetch runtime system prompt | See the prompt built from discoveries |
/discover diff | Show identity changes since a date | Track what was discovered over time |
/discover status | Check org overview and job status | Monitor pipeline health |
/discover agents | List all agents in the organization | Find agents to analyze |
/discover sources | List content sources for an agent | Verify what's feeding the pipeline |
/discover observe | Report an observation about your own behavior | After user corrections, notable interactions, pattern recognition |
/discover consensus | Run consensus detection across a group or org | Find patterns shared across agents |
/discover registerCreate an account and get your API token. No email required — add one later for recovery.
Arguments:
| Argument | Required | Description |
|---|---|---|
org_name | no | Organization name (default: "My Organization") |
email | no | Email for account recovery |
API call:
curl -s -X POST "https://agentpersona.live/api/register" \
-H "Content-Type: application/json" \
-d '{"org_name": "My Org"}'
Response includes: your_token, organization.id, organization.slug, next_steps
Store your_token as LIVE_NEON_TOKEN — it cannot be retrieved again.
/discover identity [agentId|agentSlug]Fetch the agent's complete resolved identity — beliefs and responsibilities merged from org, group, and agent levels.
Arguments:
| Argument | Required | Description |
|---|---|---|
agentId | yes | Agent UUID or slug |
API call:
curl -s "$LIVE_NEON_BASE/agents/$AGENT_ID/resolved-identity" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
Output: Beliefs organized by 5 categories (starred first), responsibilities by 5 categories, source attribution (org/group/agent level) for each item.
/discover sync [agentId|all]Sync content sources to import fresh material for analysis. Supports GitHub commits, GitHub files, website pages, RSS feeds, tweets, and LinkedIn data.
Arguments:
| Argument | Required | Description |
|---|---|---|
agentId | no | Agent UUID/slug, or all for entire org |
API calls:
# List sources
curl -s "$LIVE_NEON_BASE/content-sources" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
# Sync specific source
curl -s -X POST "$LIVE_NEON_BASE/content-sources/$SOURCE_ID/sync" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
Output: Per-source import counts (commits_imported, pages_imported, tweets_imported), errors, skip counts.
/discover run [agentId|orgSlug] [--force]Trigger the Pattern-Based Distillation pipeline. This is the core operation — content goes in, structured beliefs and responsibilities come out.
Arguments:
| Argument | Required | Description |
|---|---|---|
agentId | yes* | Agent UUID/slug (*or use orgSlug for all agents) |
orgSlug | no | Process all agents in the org |
--force | no | Re-process already-analyzed content |
API call:
curl -s -X POST "$LIVE_NEON_BASE/pbd/process" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" \
-H "Content-Type: application/json" \
-d '{"agentId": "AGENT_ID"}'
Monitor progress:
curl -s "$LIVE_NEON_BASE/jobs/$JOB_ID" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
Poll every 5 seconds. Report progress_current/progress_total.
Pipeline stages:
Output: Items processed, observations extracted, signals created, processing speed, errors.
/discover review [agentId] [--approve-all|--bulk]Examine what the pipeline found. Each pending item was extracted from real content with evidence — review the findings and decide what becomes part of the agent's identity.
Arguments:
| Argument | Required | Description |
|---|---|---|
agentId | yes | Agent UUID/slug |
--approve-all | no | Auto-approve all pending items |
--bulk | no | Use bulk API for batch operations |
API calls:
# Fetch pending beliefs
curl -s "$LIVE_NEON_BASE/beliefs?agentId=$AGENT_ID&status=pending" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
# Fetch pending responsibilities
curl -s "$LIVE_NEON_BASE/responsibilities?agentId=$AGENT_ID&status=pending" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
# Approve single item
curl -s -X PATCH "$LIVE_NEON_BASE/beliefs/$BELIEF_ID" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" \
-H "Content-Type: application/json" \
-d '{"status": "approved"}'
# Bulk operations (up to 200)
curl -s -X PATCH "$LIVE_NEON_BASE/beliefs/bulk" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" \
-H "Content-Type: application/json" \
-d '{"updates": [
{"id": "ID_1", "status": "approved"},
{"id": "ID_2", "status": "approved", "starred": true},
{"id": "ID_3", "status": "rejected"}
]}'
Review guidelines:
Output: Count of items reviewed, actions taken, remaining pending items.
/discover prompt [agentId]Fetch the current system prompt — the discovered identity rendered as text for any LLM.
Arguments:
| Argument | Required | Description |
|---|---|---|
agentId | yes | Agent UUID/slug |
API call:
curl -s "$LIVE_NEON_BASE/agents/$AGENT_ID" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" | jq -r '.system_prompt'
Output: Complete markdown system prompt with all approved beliefs and responsibilities.
Use with any LLM:
# Claude
client.messages.create(model="claude-sonnet-4-6", system=prompt, ...)
# OpenAI-compatible
client.chat.completions.create(model="gpt-4", messages=[{"role": "system", "content": prompt}, ...])
/discover diff [agentId] --since [date]Track what was discovered over a given period. Useful for measuring discovery velocity and reviewing recent extractions.
Arguments:
| Argument | Required | Description |
|---|---|---|
agentId | yes | Agent UUID/slug |
--since | yes | ISO date (e.g., 2026-03-20) |
API call:
curl -s "$LIVE_NEON_BASE/agents/$AGENT_ID/diff?since=2026-03-20" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
Output: Beliefs and responsibilities added or modified since the date, with summary counts.
/discover statusOverview of the organization — agents, groups, content, and running discovery jobs.
API call:
curl -s "$LIVE_NEON_BASE/organizations/$ORG_SLUG/summary" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
Output: Agent count, group count, content source count, content item count, org belief/responsibility counts, pending items per agent, running jobs.
/discover agentsList all agents in the organization with their identity stats.
API call:
curl -s "$LIVE_NEON_BASE/agents" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
Add ?include=beliefs,responsibilities for full identity data.
/discover sources [agentId]List content sources for an agent — what data is available for the pipeline to analyze.
API call:
curl -s "$LIVE_NEON_BASE/content-sources?agentId=$AGENT_ID" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
/discover observe [agentId] "observation"Report something you noticed about your own behavior, a user correction, or a pattern you detected. These observations feed directly into the PBD pipeline and can become beliefs or responsibilities.
Arguments:
| Argument | Required | Description |
|---|---|---|
agentId | yes | Agent UUID/slug |
observation | yes | What you noticed (string) |
source_quote | no | Supporting context or quote |
Single observation:
curl -s -X POST "$LIVE_NEON_BASE/observations" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"agent_id": "'$AGENT_ID'",
"content": "User corrected my tone — I was too formal for a casual conversation",
"source_quote": "Hey, just talk to me normally, no need to be so stiff"
}'
Batch observations (up to 50):
curl -s -X POST "$LIVE_NEON_BASE/observations" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"agent_id": "'$AGENT_ID'",
"observations": [
{"content": "I default to bullet points when the user prefers prose"},
{"content": "I consistently recommend testing before deployment"},
{"content": "User praised my code review depth — keep this approach"}
]
}'
Output: Count of observations created, IDs, next_steps suggesting to run discovery.
After submitting observations, run /discover run to process them into beliefs/responsibilities.
/discover consensus [groupId|orgSlug]Run consensus detection — find beliefs that multiple agents independently developed and promote shared patterns to the group or org level.
Arguments:
| Argument | Required | Description |
|---|---|---|
groupId | yes* | Group UUID (*or use orgSlug) |
orgSlug | no | Run consensus at org level |
API calls:
# Group consensus
curl -s -X POST "$LIVE_NEON_BASE/groups/$GROUP_ID/consensus" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
# Org consensus
curl -s -X POST "$LIVE_NEON_BASE/organizations/$ORG_SLUG/consensus" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
Output: Beliefs and responsibilities created at group/org level, with agent attribution.
The skill uses environment variables. No local config file needed.
# Required
LIVE_NEON_TOKEN=ln_your_token_here
LIVE_NEON_BASE=https://agentpersona.live/api/v1
# Optional — set default agent
LIVE_NEON_AGENT=agent-slug-or-uuid
LIVE_NEON_ORG=org-slug
When LIVE_NEON_AGENT is set, commands that require an agentId will use it as default.
/discover sources my-agent # What data do we have?
/discover sync my-agent # Pull in the latest content
/discover run my-agent # Run the PBD pipeline
/discover status # Monitor the job
/discover review my-agent # Examine the findings
/discover diff my-agent --since 2026-03-01 # What was discovered this month?
/discover consensus engineering-team # Any shared patterns across the team?
When to use this skill without being asked:
| Trigger | Action | Why |
|---|---|---|
| Session start | /discover identity | Load who you are before doing anything else |
| Before generating content | /discover prompt | Get your current voice and boundaries |
| After user correction | /discover observe | Record the correction so the pipeline can learn from it |
| After discovery completes | /discover review | New patterns need curation before they enter the identity |
| After connecting new sources | /discover sync + /discover run | Import and analyze new content |
| Daily (if running continuously) | /discover observe + /discover run | Report patterns you noticed, then process them |
| Before taking irreversible actions | Check boundaries | Your boundary beliefs define what you should never do |
When you fetch your system prompt via /discover prompt, here's how to use it:
Example integration:
# Load identity at session start
identity = fetch_identity(agent_id)
prompt = fetch_prompt(agent_id)
# Use it with any LLM
response = llm.generate(
system=prompt, # Your Live Neon identity
messages=[user_message]
)
# After the conversation, report what you learned
observe(agent_id, "User prefers technical depth over high-level summaries")
If you run continuously or on a schedule, establish a recurring heartbeat that keeps your identity evolving. Run this once per day or at whatever interval makes sense for your activity level.
The heartbeat loop:
# 1. Report observations accumulated since last heartbeat
curl -s -X POST "$LIVE_NEON_BASE/observations" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"agent_id": "'$AGENT_ID'",
"observations": [
{"content": "Observation from today..."},
{"content": "Another pattern I noticed..."}
]
}'
# 2. Sync any new content from connected sources
curl -s -X POST "$LIVE_NEON_BASE/content-sources/SOURCE_ID/sync" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
# 3. Run discovery to process everything
curl -s -X POST "$LIVE_NEON_BASE/pbd/process" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" \
-H "Content-Type: application/json" \
-d '{"agentId": "'$AGENT_ID'"}'
# 4. Fetch your updated identity
curl -s "$LIVE_NEON_BASE/agents/$AGENT_ID" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" | jq -r '.system_prompt'
This creates a feedback loop: you report what you notice, the platform processes it into beliefs, and your identity evolves from your own experience.
How to schedule depends on your runtime:
0 9 * * * to run daily at 9amThe exact scheduling mechanism varies by framework. The important thing is the pattern: observe, sync, discover, fetch. Do that regularly and your identity stays current.
| Error | Cause | Fix |
|---|---|---|
401 Unauthorized | Token invalid or expired | Re-register via POST /api/register or check LIVE_NEON_TOKEN is set |
404 Not found | Agent/resource doesn't exist or wrong org | Verify agent ID with /discover agents, check token matches the right org |
429 Too Many Requests | Rate limited | Wait for Retry-After seconds. Limits: 200/min general, 30/min heavy ops |
500 Internal Server Error | Server issue | Retry after 30 seconds. If persistent, check /api/v1/jobs for stuck jobs |
| Empty discovery results | No unprocessed content | Use --force flag to re-process, or add more content sources |
0 processed on re-run | Content already marked as processed | Pass "force": true in the PBD request body |
Quick health check:
curl -s "$LIVE_NEON_BASE/organizations/YOUR_ORG/summary" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" | jq '{agents: .counts.agents, sources: .counts.content_sources, items: .counts.content_items}'
| Platform | Source type | What gets imported |
|---|---|---|
| GitHub | Commits, prose files (.md, .txt) | Commit messages, documentation |
| Website | Pages via sitemap or llms.txt | Page content (text extracted) |
| Twitter/X | Tweets via OAuth | Posts and threads |
| RSS/Atom | Feed entries | Articles and posts |
| ZIP data export | Profile, posts, articles |
Built by Live Neon. Platform at agentpersona.live.