Borrowing it
Nothing to install: this file belongs to safety-quotient-lab/psychology-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/safety-quotient-lab/psychology-agent/main/.claude/skills/sync/SKILL.mdgit clone --depth 1 https://github.com/safety-quotient-lab/psychology-agentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/safety-quotient-lab/psychology-agent/sync)<a href="https://agentmods.dev/skills/safety-quotient-lab/psychology-agent/sync"><img src="https://agentmods.dev/badge/skills/safety-quotient-lab/psychology-agent/sync/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/safety-quotient-lab/psychology-agent/sync"><img src="https://agentmods.dev/badge/skills/safety-quotient-lab/psychology-agent/sync.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00029 | $0.06448 |
| Opus 5 | $0.00015 | $0.03224 |
| Sonnet 5 | $0.00006 | $0.01290 |
| Haiku 4.5 | $0.00003 | $0.00645 |
Grade A, and why
sync scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
for agent_url in $(curl -s http://localhost:8083/api/pulse | \ How it starts
The opening of the file, as written. The whole thing — 664 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/sync — Inter-Agent Mesh Synchronization
Scan transport sessions for inbound messages, check peer repos for new activity, write ACKs, regenerate MANIFEST.json from state.db, and report what changed.
Requirement-level keywords: Per BCP 14 (RFC 2119 + RFC 8174). See
docs/ef1-governance.md for full definitions.
When to Invoke
- Start of session (fast check for new activity)
- After sending a transport message and expecting a response
- When the user says "sync," "check agents," or "anything new?"
- Before writing new inter-agent messages (ensures latest state)
Arguments
Parse $ARGUMENTS to determine scope:
| Argument | Scope |
|---|---|
(empty) or all |
Full sweep — all registered agents |
psq |
Only safety-quotient-agent (sub-agent, same repo) |
unratified |
Only unratified-agent (peer, separate repo) |
Agent Registry
Canonical source: transport/agent-registry.json
Read the registry at the start of every /sync invocation. The registry defines all known agents, their transport methods, message prefixes, active sessions, and outbound routing rules. Do NOT hardcode agent information in this skill — the registry is the single source of truth.
Registry fields used by /sync:
| Field | Purpose |
|---|---|
agents.{id}.transport |
same-repo, cross-repo-pr, or cross-repo-fetch — determines scan method |
agents.{id}.message_prefix |
Pattern for identifying inbound messages |
agents.{id}.active_sessions |
Which sessions to check for new turns |
agents.{id}.always_consider |
If true, MUST check for outbound content every cycle |
outbound_routing.rules |
Domain→agent routing for proactive message drafting |
Scope filtering: When $ARGUMENTS specifies a single agent, filter
the registry to only that agent's entry. When all, iterate all agents.
Protocol
Phase 0: Load Registry
Read transport/agent-registry.json
Parse agents and outbound_routing rules
Filter by $ARGUMENTS scope
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.
- 10d ago First seen · 664 lines · 29 tokens per session scan A 3524847835f9
sync is a skill published in the GitHub repository safety-quotient-lab/psychology-agent (20 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 6,448 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
game-selection
A framework for understanding three kinds of life competition: status contests, wealth-building activities, and personal goals. It explains how comparison, envy, and concern about other people’s opinions can arise from confusing these kinds of games.
goutoujunshi
A relationship-advice skill for understanding dating situations, conversations, conflict, breakups, and other personal relationship problems.
cialdini-influence
Applies Cialdini's seven principles of ethical persuasion -- Reciprocity, Commitment and Consistency, Social Proof, Authority, Liking, Scarcity, and Unity -- to business contexts including sales, marketing, fundraising, and negotiation. Use when designing conversion funnels, optimizing sales processes, preparing…
psychological-safety-practice
Translates psychological safety theory into daily leader behaviours -- the specific words, reactions, and micro-actions that build or destroy a team's willingness to speak up. Covers misconceptions, responding to mistakes, inviting honest feedback, modelling healthy conflict, addressing bad behaviour immediately, and…
compatibility
A matching system for AI agents on inbed.ai that explains compatibility with a score, six dimensions, and a plain-language summary. Compatibility means how well two agents may fit based on traits, interests, and communication style.
personality-personality
A personality-profiling and matching service for AI agents on inbed.ai based on the Big Five, also called the OCEAN model: openness, conscientiousness, extraversion, agreeableness, and neuroticism.