A check-in command for the human side of an Oracle coding project. It looks at signs such as recent Git activity, open issues, session frequency, retrospectives, and branches to describe momentum or strain.

Use it for a quick energy check, a deeper review of momentum and burnout signals, or to record the check-in in a log.

It helps surface burnout, stalled work, or a possible breakthrough when those feelings are not obvious from one code change alone.

feel — Skill for Claude Code by Soul-Brews-Studio

Install

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.

Any agent

npx skills add Soul-Brews-Studio/arra-oracle-skills-cli --skill feel

Clone the repo

git clone --depth 1 https://github.com/Soul-Brews-Studio/arra-oracle-skills-cli

Made for: Claude Code.

Or install oracle-skills, the plugin that ships this one along with the rest of its 25 skills.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/soul-brews-studio/arra-oracle-skills-cli/feel/github.svg)](https://agentmods.dev/skills/soul-brews-studio/arra-oracle-skills-cli/feel)

Your own site

<a href="https://agentmods.dev/skills/soul-brews-studio/arra-oracle-skills-cli/feel"><img src="https://agentmods.dev/badge/skills/soul-brews-studio/arra-oracle-skills-cli/feel/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/soul-brews-studio/arra-oracle-skills-cli/feel"><img src="https://agentmods.dev/badge/skills/soul-brews-studio/arra-oracle-skills-cli/feel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,136 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Anti-Refusal · line 134
Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.

Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00055	$0.01136
Opus 5.5	$0.00022	$0.00454
Sonnet 5.5	$0.00011	$0.00227
Haiku 4.5	$0.00006	$0.00114

Measured 2mo ago against content hash 2a49ca885435, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

feel 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 2mo 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.

skills/feel/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/feel — System Emotional Intelligence

"Code has no feelings. But the humans writing it do. And the patterns in the code reveal what the humans feel."

Usage

/feel              # Quick pulse — how does the system feel right now?
/feel --deep       # Deep scan — energy arc, momentum, burnout signals
/feel --log        # Append to feels.log (no output, just record)

Step 0: Timestamp

date "+🕐 %H:%M %Z (%A %d %B %Y)"

Quick Pulse (default)

Read the signals and report:

Step 1: Gather evidence

# Recent git activity — momentum or silence?
git log --oneline --since="7 days ago" --all 2>/dev/null | wc -l

# Session frequency — are we showing up?
ls -t ~/.claude/projects/*/**.jsonl 2>/dev/null | head -10

# Open issues — overwhelmed or on track?
gh issue list --state open --limit 50 --json number 2>/dev/null | jq 'length'

# Recent retros — are we reflecting?
ls -t ψ/memory/retrospectives/**/*.md 2>/dev/null | head -5

# Stale branches — unfinished business?
git branch --sort=-committerdate | head -10

Step 2: Classify the feeling

Signal	Indicator	Feeling
Many commits, short intervals	High activity	🔥 Flow / momentum
Few commits, long gaps	Low activity	😴 Drift / disconnection
Many open issues, few closed	Growing backlog	😰 Overwhelm
Recent retros + handoffs	Healthy reflection	🧘 Grounded
Stale branches, no PRs	Abandoned work	😶 Avoidance
Lots of new repos/features	Exploration	✨ Curiosity
Same files edited repeatedly	Iteration	🔄 Grinding
No sessions in days	Absence	🌑 Dark period

Step 3: Report

💜 System Pulse — [DATE]

Energy:     [🔥 Flow | 😴 Drift | 😰 Overwhelm | 🧘 Grounded | ...]
Momentum:   [↗️ Rising | → Steady | ↘️ Falling | ⏸️ Paused]
Last active: [X hours/days ago]
Commits (7d): [N]
Open issues:  [N]
Sessions (7d): [N]

[1-2 sentence read — honest, not cheerful]

💡 [Suggestion if concerning pattern detected]

Read the full file on GitHub · 157 lines

Changes

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.

2mo ago First seen · 157 lines · 55 tokens per session scan A 2a49ca885435

Subscribe to this mod's changes

feel is a skill published in the GitHub repository Soul-Brews-Studio/arra-oracle-skills-cli (125 stars, last pushed 8d ago), licensed MIT. It adds 55 tokens to every session and 1,136 once invoked, about $0.0002 per session on Opus 5.5. 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.

feel next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
feelSoul-Brews-Studio/arra-oracle-skills-cli	Skill	125	8d ago	MIT	A	55	Claude Code
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	today	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	today	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	314k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code