Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/zai-org/synapse/self-reflectionnpx skills add zai-org/Synapse --skill self-reflectiongit clone --depth 1 https://github.com/zai-org/SynapseWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00013 | $0.00562 |
| Opus 5 | $0.00006 | $0.00281 |
| Sonnet 5 | $0.00003 | $0.00112 |
| Haiku 4.5 | $0.00001 | $0.00056 |
Grade A, and why
self-reflection scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🪞 Self-Reflection
A skill for continuous self-improvement. The agent tracks mistakes, lessons learned, and improvements over time through regular heartbeat-triggered reflections.
Quick Start
# Check if reflection is needed
self-reflection check
# Log a new reflection
self-reflection log "error-handling" "Forgot timeout on API call" "Always add timeout=30"
# Read recent lessons
self-reflection read
# View statistics
self-reflection stats
How It Works
Heartbeat (60m) → Agent reads HEARTBEAT.md → Runs self-reflection check
│
┌─────────┴─────────┐
▼ ▼
OK ALERT
│ │
Continue Reflect
│
┌─────────┴─────────┐
▼ ▼
read log
(past lessons) (new insights)
Commands
| Command | Description |
|---|---|
check [--quiet] |
Check if reflection is due (OK or ALERT) |
log <tag> <miss> <fix> |
Log a new reflection |
read [n] |
Read last n reflections (default: 5) |
stats |
Show reflection statistics |
reset |
Reset the timer |
OpenClaw Integration
Enable heartbeat in ~/.openclaw/openclaw.json:
{
"agents": {
"defaults": {
"heartbeat": {
"every": "60m",
"activeHours": { "start": "08:00", "end": "22:00" }
}
}
}
}
Add to your workspace HEARTBEAT.md:
## Self-Reflection Check (required)
Run `self-reflection check` at each heartbeat.
If ALERT: read past lessons, reflect, then log insights.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 100 lines · 13 tokens per session scan A eb35627fb6fa
self-reflection is a skill published in the GitHub repository zai-org/Synapse (434 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 13 tokens to every session and 562 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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