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 postmelee/hyper-waterfall --skill task-registergit clone --depth 1 https://github.com/postmelee/hyper-waterfallWrote 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/postmelee/hyper-waterfall/task-register)<a href="https://agentmods.dev/skills/postmelee/hyper-waterfall/task-register"><img src="https://agentmods.dev/badge/skills/postmelee/hyper-waterfall/task-register/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/postmelee/hyper-waterfall/task-register"><img src="https://agentmods.dev/badge/skills/postmelee/hyper-waterfall/task-register.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 122 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00072 | $0.01399 |
| Opus 5.5 | $0.00029 | $0.00560 |
| Sonnet 5.5 | $0.00014 | $0.00280 |
| Haiku 4.5 | $0.00007 | $0.00140 |
Grade A, and why
task-register 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 2mo 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hyper-Waterfall Issue Registration
Trigger
- The task requester explicitly asks to register an Issue, create a new task, or start from an Issue.
- The task requester invokes this SKILL directly.
Preconditions
- The work does not yet have an Issue number.
- Purpose, background, and scope are at least drafted.
ghCLI is authenticated for the current user.- When possible,
.github/ISSUE_TEMPLATE/task.ymlor framework sourcetemplates/.github/ISSUE_TEMPLATE/task.ymlcan be read. - Before creating the Issue, the title, body, milestone, and label draft can be confirmed with the task requester.
Procedure
- Check for duplicate Issues.
gh issue list --repo {REPO_SLUG} --state all \ --search "{work keywords}" \ --limit 20 \ --json number,title,state,milestone,labels,url- If a substantially identical open Issue exists, do not create a new one. Ask whether to use the existing Issue.
- If a closed Issue covered the same topic, link it in the new Issue references.
- Check open milestones.
gh api repos/{REPO_SLUG}/milestones \ --jq '.[] | {number,title,state,description,open_issues,closed_issues}'- Judge from the live
title,state, anddescription. - Do not rely on remembered old milestone lists or version mappings.
- Judge from the live
- Check existing labels.
gh api repos/{REPO_SLUG}/labels --paginate \ --jq '.[] | {name,description,color}'- Judge from live
nameanddescription. - Do not rely on remembered old label lists.
- Judge from live
- Choose milestone candidates.
- Use only open milestones.
- Compare work purpose, scope, component, and release phase with the milestone
titleanddescription. - If one candidate is clear, record its title and reason.
- If 2-3 candidates are possible, present them with reasons and ask the task requester.
- If no open milestone fits or descriptions are insufficient, ask the task requester instead of guessing.
- Choose label candidates.
- Use only existing labels from the live lookup.
- Select a label only when the work clearly matches the label
nameanddescription. - Prefer 1 type label, 1-2 area labels, and 0-1 kind/status label.
- Type labels include
bug,documentation,enhancement,duplicate, orquestion. - Area labels are selected by primary work ownership, not every affected area.
- Kind labels such as
kind:architecture,kind:automation,kind:regression,kind:verification, orkind:follow-upare used only when they meaningfully distinguish handling. - General Issues should usually have 2-4 labels.
- If 5 or more labels are needed, write the exception reason in the draft and confirm it with the task requester.
- If candidates are clear, record label names and reasons.
- If no label fits or the fit is ambiguous, create without labels or ask the task requester.
- Do not create new labels.
- Draft the Issue.
- Title: one sentence that reveals the work unit.
- Body: prefer GitHub Issue Form
.github/ISSUE_TEMPLATE/task.yml.- In a framework repository, use
templates/.github/ISSUE_TEMPLATE/task.ymlwhen checking the source template for applied repositories. - Since
gh issue createdoes not run Issue Form UI, convert form fields to Markdown sections.
- In a framework repository, use
- Issue Form sections:
- Background
- Goals
- Scope - Included
- Scope - Excluded
- Acceptance Criteria
- Verification Criteria
- References
- Milestone and label candidates
- If the Issue Form cannot be read, use the same section list as fallback.
- Milestone: one open milestone chosen from live lookup and the selection reason.
- Labels: approved existing labels and reasons, or none.
- Split label reasons by type/area/kind, and include the exception reason if using 5 or more labels.
- Request approval before creating the Issue.
- Show the task requester the title, body, milestone, labels, and selection reasons.
- Do not run
gh issue createuntil the task requester explicitly approves creation in the same thread.
- After approval, create the Issue.
gh issue create --repo {REPO_SLUG} \ --title "{title}" \ --body "{body}" \ --milestone "{milestone}" \ --label "{label}"- Repeat
--labelfor multiple labels, such as--label documentation --label enhancement. - Omit
--labelwhen creating without labels.
- Repeat
- Confirm the created Issue.
gh issue view {N} --repo {REPO_SLUG} \ --json number,title,state,milestone,labels,url - Report the created Issue number and URL, then request approval to enter
task-start.
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.
- 2mo ago First seen · 129 lines · 72 tokens per session scan A 295ada15ff42
task-register is a skill published in the GitHub repository postmelee/hyper-waterfall (82 stars, last pushed 3mo ago), licensed MIT. It adds 72 tokens to every session and 1,399 once invoked, about $0.0003 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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