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 frankxai/awesome-hermes-agent-skills --skill todo-disciplinegit clone --depth 1 https://github.com/frankxai/awesome-hermes-agent-skillsWrote 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/frankxai/awesome-hermes-agent-skills/todo-discipline)<a href="https://agentmods.dev/skills/frankxai/awesome-hermes-agent-skills/todo-discipline"><img src="https://agentmods.dev/badge/skills/frankxai/awesome-hermes-agent-skills/todo-discipline/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/frankxai/awesome-hermes-agent-skills/todo-discipline"><img src="https://agentmods.dev/badge/skills/frankxai/awesome-hermes-agent-skills/todo-discipline.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 | $0.00041 | $0.00393 |
| Opus 5 | $0.00020 | $0.00197 |
| Sonnet 5 | $0.00008 | $0.00079 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
todo-discipline 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 12d 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.
What it actually says
Todo Discipline (Free)
Agents often create task lists, do the work, then conclude while the UI still shows 0/N done. This skill makes task state = reality a hard gate.
When to Use
- Complex tasks with 3+ steps
- Multi-agent or long sessions
- Before any “done”, handover, or “battle-tested” claim
Don't use for: single-step Q&A.
Hard gate
Before any concluding message:
- Update every finished item to completed (merge, don’t wipe history)
- Immediately read the task list again (no-args read)
- Only then write the final summary
Treat the read result as ground truth if merge responses echo stale state (common in long/headless runs).
Rules
- Prefer merge over full replace
- Only one item
in_progressat a time - Never pass an empty todos array on merge (can clear the list)
- Supply full id + content + new status for items you change
Verification checklist
- All finished work marked completed
- No stale in_progress when claiming done
- Read-back confirmed
- User-visible task counter matches reality
License
MIT — Frank Riemer / GenCreator.
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.
- 12d ago First seen · 55 lines · 41 tokens per session scan A 11feca8cbeb9
todo-discipline is a skill published in the GitHub repository frankxai/awesome-hermes-agent-skills (4 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 393 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 2026-08-31.
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