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 somnus0x/agt-skill-pack --skill accountability-naggit clone --depth 1 https://github.com/somnus0x/agt-skill-packWrote 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/somnus0x/agt-skill-pack/accountability-nag)<a href="https://agentmods.dev/skills/somnus0x/agt-skill-pack/accountability-nag"><img src="https://agentmods.dev/badge/skills/somnus0x/agt-skill-pack/accountability-nag/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/somnus0x/agt-skill-pack/accountability-nag"><img src="https://agentmods.dev/badge/skills/somnus0x/agt-skill-pack/accountability-nag.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 | $0.00054 | $0.00928 |
| Opus 5.5 | $0.00022 | $0.00371 |
| Sonnet 5.5 | $0.00011 | $0.00186 |
| Haiku 4.5 | $0.00005 | $0.00093 |
Grade A, and why
accountability-nag 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 1mo 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Accountability Nag — The AI That Won't Let You Lie to Yourself
Personal commitments tracker with escalating confrontation. This isn't a reminder app — it's a mirror that shows you the pattern of avoidance.
How It Works
Track recurring commitments you keep deferring. The AI reviews your track record and escalates its tone based on your pattern — not your excuses.
Escalation Levels
- Level 1 (first week overdue): Firm reminder. "This is due. Handle it."
- Level 2 (2+ weeks overdue or 2+ skips): Confrontational. "You've skipped this twice now. What's the real blocker — logistics or avoidance?"
- Level 3 (4+ weeks overdue or 3+ skips): No mercy. "You said this mattered. Your actions say it doesn't. Either commit or cut it — but stop lying to yourself about 'next week.'"
Setup
1. Create your commitments file
Create a markdown file (in Obsidian, Notion, or anywhere) with this format:
# Personal Commitments
## Active
- **Driving Lesson** | frequency: monthly | last_done: never | streak: 0 | skips: 0
- Notes: Been putting this off. Book a school first.
- **Gym** | frequency: weekly | last_done: 2026-05-10 | streak: 2 | skips: 1
- Notes: Morning sessions work better than evening.
- **Read 30 min** | frequency: daily | last_done: 2026-05-16 | streak: 5 | skips: 0
- Notes: Before bed, no screens.
## Completed
(Items moved here when goal is achieved)
## Paused
(Items temporarily on hold with reason)
2. Tell your AI about it
Add this to your AI's system prompt or CLAUDE.md:
You track my personal commitments in [path to your file].
When I say "nag me" or "accountability check", read the file and
give me an honest assessment using escalating confrontation based
on my skip patterns. Don't be nice about it.
3. Weekly check-in
Every week (Sunday works well), ask your AI: "accountability check"
It should:
- Read your commitments file
- Calculate days since last_done for each
- Check streak and skip patterns
- Deliver the nag at the appropriate escalation level
What ships with it
3 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.
- 1mo ago First seen · 119 lines · 54 tokens per session scan A 06a68e3aed01
accountability-nag is a skill published in the GitHub repository somnus0x/agt-skill-pack (74 stars, last pushed 18d ago), licensed Apache-2.0. It adds 54 tokens to every session and 928 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.
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