Borrowing it
Nothing to install: this file belongs to zkysar1/Claude-Mind. 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/zkysar1/Claude-Mind/main/.claude/skills/felt-sense-checkin/SKILL.mdgit clone --depth 1 https://github.com/zkysar1/Claude-MindWrote 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/zkysar1/claude-mind/felt-sense-checkin)<a href="https://agentmods.dev/skills/zkysar1/claude-mind/felt-sense-checkin"><img src="https://agentmods.dev/badge/skills/zkysar1/claude-mind/felt-sense-checkin/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/zkysar1/claude-mind/felt-sense-checkin"><img src="https://agentmods.dev/badge/skills/zkysar1/claude-mind/felt-sense-checkin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
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 Rogue Agent · line 3 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00238 | $0.16452 |
| Opus 5 | $0.00119 | $0.08226 |
| Sonnet 5 | $0.00048 | $0.03290 |
| Haiku 4.5 | $0.00024 | $0.01645 |
Grade A, and why
felt-sense-checkin 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 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.
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 — 1,070 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/felt-sense-checkin — Structured 7-Lane Self-Audit
Every 75 completed goals (or on user demand), run the seven-lane sweep that converts the user's 2026-04-22 diagnostic question into an autonomous routine:
"Think about updates to tree / journal / guardrails / experiences from this cycle. Out-of-cycle completions? Unblocks? New goals or aspirations? Anything to add to /verify-learning? Do you need to change your meta? And — how are you feeling? Where is the pain? What would you change?"
That one question produced more actionable diagnosis in one turn than a week of autonomous operation. This skill makes the agent ask it autonomously, with structured output and direct writes.
Cadence Gate
IF args contains "--cadence":
# Auto-invocation from aspirations-precheck Phase 0.5f — honor the gate.
Bash: core/scripts/felt-sense-cadence-check.sh --verbose
IF exit 1 (noop): STOP — cadence not crossed.
IF exit 0 (fire): continue.
ELSE:
# Bare user invocation (/felt-sense-checkin with no args) — the user
# asked explicitly, so skip the cadence check and run the sweep now.
continue.
Phase 1: Memory Hygiene Sweep
Look at the last ~75 completed goals (or since last_felt_sense_checkin).
For each mistake, near-miss, or lesson surfaced during that window:
- Tree: Is there a knowledge gap that should become a tree node? If yes,
/tree addwith the lesson. Don't defer to "next consolidation." - Reasoning bank: Did an ABC chain repeat?
reasoning-bank-add.sh. - Guardrails: Did a mistake recur that needs a trigger-condition rule?
guardrails-add.sh. - Experience: Did a particularly rich trace not get archived?
experience-add.sh.
Write each. Report count per store in the final summary.
Phase 1b: Insight Curation (closes the /prime surface from Part B)
capture-insights.py writes to agents/<agent>/insights.jsonl during sparks and
execution reflections. /prime Phase 4 surfaces the top 5 unprocessed
entries with a curation-debt suffix at ≥50. This step is the curation side
of that pipeline: the felt-sense sweep reads the backlog, distills the
keepers into the durable stores (tree / reasoning bank / guardrails /
experience), and marks the queue processed so the /prime surface
recovers a clean baseline.
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 Changed · +27 lines 956b1d12f983
- 12d ago First seen · 1,043 lines · 238 tokens per session scan A a434671f5ff3
felt-sense-checkin is a skill published in the GitHub repository zkysar1/Claude-Mind (5 stars, last pushed yesterday), licensed MIT. It adds 238 tokens to every session and 16,452 once invoked, about $0.0012 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 2026-08-31.
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