Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/gpsaggese/helpersnpx agentmods add skills/gpsaggese/helpers/auto_task.create_specs_from_todosWrote 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/gpsaggese/helpers/auto_task.create_specs_from_todos)<a href="https://agentmods.dev/skills/gpsaggese/helpers/auto_task.create_specs_from_todos"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/auto_task.create_specs_from_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/gpsaggese/helpers/auto_task.create_specs_from_todos"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/auto_task.create_specs_from_todos.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 | $0.00010 | $0.00619 |
| Opus 5.5 | $0.00004 | $0.00248 |
| Sonnet 5.5 | $0.00002 | $0.00124 |
| Haiku 4.5 | $0.00001 | $0.00062 |
Grade A, and why
auto_task.create_specs_from_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 yesterday.
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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goal
- Given a list of TODOs in a file from the user, create a plan to fix them
Workflow
Understand Each TODO
- Each TODO is in the form
<FILE>:<LINE_NUM>:<TODO description>- E.g.,
./helpers/hmarkdown_coloring.py:235:def colorize_bullet_points_in_slide(...
- E.g.,
- Read each TODO and understand the problem
- If it's a bug:
- Find the root cause
- Run experiments to verify the issue and its root cause
- Devise a plan to fix the problem and a plan to verify the fix
Write the Fix Plan
- Create a plan
tasks.mdusing the template.claude/templates/auto_task.template.md - Fill in the template's
* Repo:checklist per.claude/skills/auto_task.rules.mdsection "Multi-Repo Issues, Branches, and PRs" (how to tell which repo a<FILE>belongs to, and how to handle TODOs spanning more than one repo) - Say in the plan file how it was generated, with this comment at the top:
<!-- Generated by `.claude/skills/auto_task.create_specs_from_todos/SKILL.md` --> - Write the comments as bullet points per
.claude/skills/markdown.rules.mdand.claude/skills/text.rules.md, with minimal text - Do not change the code, only propose the fixes
Follow the Conventions
- Follow
.claude/skills/auto_task.rules.mdsection "Follow the Coding and Testing Rules"- Refer to
.claude/skills/coding.*/SKILL.mdand.claude/skills/testing.*/SKILL.mdfor the repo's best practices
- Refer to
- For bugs, add unit tests that fail before the fix and pass after it (red/green approach)
- For renaming, check the entire code base so everything is updated
- Follow
.claude/skills/coding.rename/SKILL.md
- Follow
- For a change of function signature, update all the calling instances
Rank the Issues
- Order the issues by increasing complexity, starting with the fixes of high confidence
Verification
-
tasks.mdcontains one issue block per input TODO - Every issue block has type, reason, proposed fix, confidence, complexity, and verification plan filled in
- Issues are ordered by increasing complexity, starting from the highest confidence fixes
- No code was changed, only the plan file was written
- The plan file says that it was generated by
.claude/skills/auto_task.create_specs_from_todos/SKILL.md
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.
- yesterday First seen · 65 lines · 10 tokens per session scan A 380646e5dd8b
auto_task.create_specs_from_todos is a skill published in the GitHub repository gpsaggese/helpers (158 stars, last pushed today), licensed Apache-2.0. It adds 10 tokens to every session and 619 once invoked, about $0.0000 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 2026-11-06.
auto_task.create_specs_from_todos compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| auto_task.create_specs_from_todosgpsaggese/helpers | Skill | 158 | today | Apache-2.0 | A | 10 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |