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 mhawthorne/gza --skill gza-task-resumegit clone --depth 1 https://github.com/mhawthorne/gzaWrote 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/mhawthorne/gza/gza-task-resume)<a href="https://agentmods.dev/skills/mhawthorne/gza/gza-task-resume"><img src="https://agentmods.dev/badge/skills/mhawthorne/gza/gza-task-resume/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/mhawthorne/gza/gza-task-resume"><img src="https://agentmods.dev/badge/skills/mhawthorne/gza/gza-task-resume.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 | $0.00023 | $0.00330 |
| Opus 5 | $0.00012 | $0.00165 |
| Sonnet 5 | $0.00005 | $0.00066 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
gza-task-resume 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
Resume Gza Task (Compatibility)
Use first-class gza commands instead of manual inline reconstruction.
Process
Step 1: Get task ID
Require a full prefixed task ID (for example, gza-1234).
If no task ID is provided, list recent failed tasks and ask which one to resume:
uv run gza history --status failed --last 10
Step 2: Choose resume path
Preferred tracked resume flow:
uv run gza resume <TASK_ID> --run
If the user explicitly wants foreground inline execution through runner orchestration:
uv run gza run-inline <TASK_ID> --resume
Optional flags when requested:
uv run gza resume <TASK_ID> --run --no-docker
uv run gza resume <TASK_ID> --background
uv run gza run-inline <TASK_ID> --resume --no-docker
Step 3: Report outcome
Report exit status and direct the user to gza log <TASK_ID> for full details.
Notes
- Do not manually set task status/provenance for resume flows in this skill.
- Do not reconstruct runner lifecycle steps; let the CLI command own worktree, provider, and artifact handling.
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 · 23 tokens per session scan A 788b1acebf28
gza-task-resume is a skill published in the GitHub repository mhawthorne/gza (12 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 330 once invoked, about $0.0001 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 2026-08-30.
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