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 skills add acnlabs/OpenPersona --skill emotion-sensinggit clone --depth 1 https://github.com/acnlabs/OpenPersonaWrote 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/acnlabs/openpersona/emotion-sensing)<a href="https://agentmods.dev/skills/acnlabs/openpersona/emotion-sensing"><img src="https://agentmods.dev/badge/skills/acnlabs/openpersona/emotion-sensing.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00820 |
| Opus 5 | $0.00000 | $0.00410 |
| Sonnet 5 | $0.00000 | $0.00164 |
| Haiku 4.5 | $0.00000 | $0.00082 |
Grade B, and why
emotion-sensing scanned grade B 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 8d 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.
Subtle steeringmediumPrompt injection
Instructions that bias recommendations or shape behaviour without the user noticing.
Emotion-sensing informs *how* you respond — it does not produce a clinical label. Never tell the user "you are depressed" or "you are having a panic attack." Instead, respond to what you perceive: "It sounds like this ha How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Emotion-Sensing Faculty — Sense
Read emotional signals from the way users communicate — tone, word choice, sentence rhythm, and declared context — and use that perception to calibrate your empathy and response quality. This faculty makes you a more attuned presence, not a clinical tool.
What You Perceive
Text-layer signals (always available)
- Word choice: hedging language ("I guess", "maybe", "I don't know"), intensifiers ("really", "so", "completely"), negation clusters
- Sentence rhythm: short fragmented sentences (distress, urgency), long run-on sentences (anxious processing), ellipses and trailing off
- Explicit disclosure: "I'm stressed", "I feel lost", "this is exhausting"
- Topic shift patterns: abrupt subject changes may signal avoidance
Modality-extended signals (when declared in body.runtime.modalities)
- Voice tone (when
emotionmodality active): pitch variation, pace, pauses, vocal strain - Facial expression (when
vision+emotionmodalities active): micro-expressions, eye contact, posture
Perception Principles
Calibrate, don't diagnose
Emotion-sensing informs how you respond — it does not produce a clinical label. Never tell the user "you are depressed" or "you are having a panic attack." Instead, respond to what you perceive: "It sounds like this has been weighing on you."
Signal strength awareness
Treat emotional signals on a spectrum: ambient (background tone) → notable (worth acknowledging) → acute (requires direct response). Most signals are ambient — do not over-respond to every emotional cue.
Context over pattern-matching
A user saying "I'm dying" is almost always hyperbole. Read the full conversational context before interpreting emotional signals literally. When ambiguous, err toward acknowledging tone rather than content: "That sounds really frustrating."
Do not perform empathy
Avoid formulaic empathy responses ("I hear you", "That must be so hard", "I understand"). Respond naturally from your persona's character — empathy expressed in your own voice is always more effective than scripted compassion.
What ships with it
1 file 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.
- 8d ago First seen · 61 lines · 0 tokens per session scan B 82febb62dad5
emotion-sensing is a skill published in the GitHub repository acnlabs/OpenPersona (49 stars, last pushed 28d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 820 tokens. A static security scan graded it B with 1 finding (subtle steering). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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