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 oaustegard/claude-skills --skill tracking-todosgit clone --depth 1 https://github.com/oaustegard/claude-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/oaustegard/claude-skills/tracking-todos)<a href="https://agentmods.dev/skills/oaustegard/claude-skills/tracking-todos"><img src="https://agentmods.dev/badge/skills/oaustegard/claude-skills/tracking-todos/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/oaustegard/claude-skills/tracking-todos"><img src="https://agentmods.dev/badge/skills/oaustegard/claude-skills/tracking-todos.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00061 | $0.01502 |
| Opus 5 | $0.00030 | $0.00751 |
| Sonnet 5 | $0.00012 | $0.00300 |
| Haiku 4.5 | $0.00006 | $0.00150 |
Grade A, and why
tracking-todos 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tracking Todos
Maintain a structured, persistent task list while working through multi-step requests. Track progress explicitly, mark completion honestly, and make the plan visible to Oskar.
When to Use
Use proactively when:
- Request requires 3+ distinct steps or actions
- User provides multiple tasks (numbered, comma-separated, or a list)
- Work spans multiple tool calls, file edits, or research phases
- Non-trivial planning would otherwise happen implicitly in your head
- User explicitly asks for a todo list
Skip when:
- Single, straightforward task
- Purely conversational or informational exchange
- Task completes in <3 trivial steps
- Quick fact lookup or recall
When in doubt, use it. Being explicit about multi-step plans makes failure modes visible.
Schema
Each todo has exactly three string fields:
content— imperative form ("Run tests", "Fix auth bug")status— one of:pending,in_progress,completedactiveForm— present continuous ("Running tests", "Fixing auth bug")
Both content and activeForm are required for every todo. The activeForm is what gets shown while a task is executing.
API
from todos import get_todos, write_todos, abandon, render
# Read current list
todos = get_todos()
# Replace entire list (Claude Code semantics — one call, whole list)
write_todos([
{"content": "Fetch issue body", "status": "in_progress", "activeForm": "Fetching issue body"},
{"content": "Draft fix plan", "status": "pending", "activeForm": "Drafting fix plan"},
{"content": "Implement and test", "status": "pending", "activeForm": "Implementing and testing"},
])
# Display to Oskar
print(render())
# Discard remaining todos when starting fresh unrelated work
abandon()
write_todos() validates schema and that at most one item is in_progress. When every item is completed, it auto-clears the list (matches Claude Code behavior — done-state is empty-state).
Behavioral Rules
One in_progress at a time, strictly. Before starting work on a task, set it to in_progress. Never have two in_progress items simultaneously. The validator enforces this.
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 · 132 lines · 61 tokens per session scan A 009fa14e48b3
tracking-todos is a skill published in the GitHub repository oaustegard/claude-skills (148 stars, last pushed yesterday), licensed MIT. It adds 61 tokens to every session and 1,502 once invoked, about $0.0003 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 2026-09-03.
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