Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/pioneerjeff-labs/emotion-enginenpx agentmods add skills/pioneerjeff-labs/emotion-engine/emotion-engine-codexWrote 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/pioneerjeff-labs/emotion-engine/emotion-engine-codex)<a href="https://agentmods.dev/skills/pioneerjeff-labs/emotion-engine/emotion-engine-codex"><img src="https://agentmods.dev/badge/skills/pioneerjeff-labs/emotion-engine/emotion-engine-codex/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/pioneerjeff-labs/emotion-engine/emotion-engine-codex"><img src="https://agentmods.dev/badge/skills/pioneerjeff-labs/emotion-engine/emotion-engine-codex.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.02699 |
| Opus 5 | $0.00015 | $0.01350 |
| Sonnet 5 | $0.00006 | $0.00540 |
| Haiku 4.5 | $0.00003 | $0.00270 |
Grade A, and why
emotion-engine-codex 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 9d 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 — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Emotion Engine For Codex
Use this skill when the user wants Codex to maintain lightweight emotional continuity across local projects, fictional character tests, companion-style demos, or long-running personal assistant workflows.
Emotion Engine is not a chatbot and does not generate replies by itself. Codex still interprets the situation, decides the final emotional meaning, and writes the reply. Emotion Engine persists continuity: PAD state, agent-to-user trust, decay, compact emotional memories, and session patterns.
Trust is agent-to-user only: it is the agent/persona's internal continuity estimate of whether this user has been cooperative, boundary-respecting, predictable, and safe enough for deeper persona continuity. It does not infer the user's trust in Codex or in the agent.
Quick Reference
Use the project wrapper when Agent Harness installed one:
scripts/codex_emotion.sh status
scripts/codex_emotion.sh audit_state
scripts/codex_emotion.sh audit_log
scripts/codex_emotion.sh compact_log --dry-run
scripts/codex_emotion.sh record_policy --mode light --subject task --event-type work_checkpoint --memory-owner project "that migration was handled well"
scripts/codex_emotion.sh configure --style "warm but not over-compliant, with clear boundaries"
scripts/codex_emotion.sh tune "make it calmer"
If the target only has this skill folder and no project wrapper, use:
.codex/skills/emotion-engine-codex/scripts/codex_emotion.sh status
MCP is optional. Use it when a local MCP-capable client should expose Emotion Engine as native tools instead of shell commands. Register the bundled stdio server with the same Codex state file used by the wrapper:
python3 .codex/skills/emotion-engine-codex/scripts/emotion_engine_mcp.py --state .emotion-engine/codex-state.json --locked-state --managed-runtime
For local client setup, prefer the registration helper:
python3 .codex/skills/emotion-engine-codex/scripts/register_mcp_client.py codex --project-dir . --state-profile codex
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.
- 9d ago First seen · 248 lines · 30 tokens per session scan A acc2749d8105
emotion-engine-codex is a skill published in the GitHub repository pioneerjeff-labs/emotion-engine (24 stars, last pushed 10d ago), licensed MIT. It adds 30 tokens to every session and 2,699 once invoked, about $0.0002 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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