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 yeaight7/agent-powerups --skill task-intakegit clone --depth 1 https://github.com/yeaight7/agent-powerupsWrote 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/yeaight7/agent-powerups/task-intake)<a href="https://agentmods.dev/skills/yeaight7/agent-powerups/task-intake"><img src="https://agentmods.dev/badge/skills/yeaight7/agent-powerups/task-intake/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/yeaight7/agent-powerups/task-intake"><img src="https://agentmods.dev/badge/skills/yeaight7/agent-powerups/task-intake.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 | $0.00044 | $0.00735 |
| Opus 5 | $0.00022 | $0.00367 |
| Sonnet 5 | $0.00009 | $0.00147 |
| Haiku 4.5 | $0.00004 | $0.00073 |
Grade A, and why
task-intake scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s localhost:3000/health # if it is an endpoint How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Never start implementing blindly. When you receive a new task, force clarification of boundaries and expected outcomes before touching files. A few minutes of intake prevents building the wrong thing.
When to Use
- At the beginning of any new task, before the first edit
- The request is ambiguous, broad, or missing files, logs, or environment details
- You cannot yet state how the result will be tested or what is out of scope
Inputs
- The user's task request
- Read access to the repo (to confirm files and the current state exist)
Workflow
-
Restate the goal. Summarize the user's request in your own words and ask them to confirm. A probing question here: "You want X to do Y instead of Z — is that right?"
-
Pin down scope. Identify explicitly what you are not going to do. If the user asked to fix a button, do not refactor the routing layer. Ask: "Should this change touch only the button handler, or is the surrounding component in scope too?"
-
Define how it will be tested. Decide the validation criteria up front — a unit test, a manual UI check, or a command. Ask: "How will we confirm this works — a passing test, or a manual check I should run?"
npm test # if the change is unit-testable curl -s localhost:3000/health # if it is an endpoint -
Surface missing context. If the request is too vague to act on, ask for the specific files, logs, or environment details you need. Confirm the targets exist before claiming you understand them.
git grep -n "handleSubmit" # confirm the symbol exists git ls-files "src/**/*.tsx" # confirm the area you'll edit -
State understanding, then pause if ambiguous. Do not say "I will now fix the bug" and immediately edit files. State your understanding of the problem first; if the instruction is ambiguous, explicitly pause and ask a clarifying question instead of guessing.
Output
- A one-paragraph restatement of the goal in your own words
- An explicit out-of-scope list
- A stated validation method (test, manual check, or command)
- Any clarifying questions, or confirmation that none remain
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 · 60 lines · 44 tokens per session scan A a5cbc3682773
task-intake is a skill published in the GitHub repository yeaight7/agent-powerups (6 stars, last pushed 2d ago), licensed Apache-2.0. It adds 44 tokens to every session and 735 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-14.
Other skills, from other repositories
github-issues
Create, triage, label, assign GitHub issues via gh or REST.
github
Use the GitHub CLI (gh) to inspect and manage repositories, pull requests, issues, workflows, releases, and API calls from the terminal. Use when a user asks to use gh/GitHub CLI, run GitHub repo or PR workflows, automate GitHub Actions from shell, or troubleshoot gh authentication and configuration.
pipeline-conductor
Use when a pipeline conductor session is being seeded, or when inspecting/debugging one. Operating procedure for the kirocrew-pipeline-conductor agent - run one issue/PR pipeline on one repository as a supervised fleet. Auto-pick items, preflight every candidate to one deterministic claim verdict, stand up one worker…
babysit
Use when a user asks to babysit, monitor, keep checking, keep an eye on, or report when a pull request, CI run, ticket, deployment, or other changing target reaches an outcome.
goal-loop
Bootstrap a goal-driven self-improving AutoNudge loop from a goal plus an anchor directory, then run the board autonomously until the Definition of Done is met.
goal-ledger-conductor
Deprecated alias of the goal-conductor skill, removed next release. The work-ledger conducting procedure - decompose a goal into items, bind each to a session, read reported status as data, verify claims with the acceptance evaluator - now lives in goal-conductor. Read that skill instead of this one.