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 ikenga-hq/ikenga-pkgs --skill tasksgit clone --depth 1 https://github.com/ikenga-hq/ikenga-pkgsWrote 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/ikenga-hq/ikenga-pkgs/tasks)<a href="https://agentmods.dev/skills/ikenga-hq/ikenga-pkgs/tasks"><img src="https://agentmods.dev/badge/skills/ikenga-hq/ikenga-pkgs/tasks/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/ikenga-hq/ikenga-pkgs/tasks"><img src="https://agentmods.dev/badge/skills/ikenga-hq/ikenga-pkgs/tasks.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 | $0.00119 | $0.00839 |
| Opus 5.5 | $0.00048 | $0.00336 |
| Sonnet 5.5 | $0.00024 | $0.00168 |
| Haiku 4.5 | $0.00012 | $0.00084 |
Grade A, and why
tasks 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
tasks — dispatch-only tasks surface
This file is a router. Each action lives in its own file under actions/;
load on demand. The state contract (which ikenga.db tables are touched,
read-vs-write boundary, dispatch-only scope) is in lib/state.md — read it
before building any action.
skill-core note:
depends_on: ['skill-core']is declared above.skill-coreships ascom.ikenga.skill-coreonikenga-pkgsmain. Per the G-04 contract and the lint spec in06-skill-action-contract.md§5, no other target is legal.
Purpose (one line)
Produce the project roster for the tasks owner-picker and run completion sweeps
— reading ikenga.db state, never owning CRUD.
Dispatch actions
| Action | File | Mode | One-liner |
|---|---|---|---|
setup |
actions/setup.md |
streaming |
Configure the project roster (humans + agents). Writes .atelier/skill-tasks/roster.json + manifest.json. |
sweep |
actions/sweep.md |
approve |
Read completion-signal candidates from ikenga.db; produce draft close-decisions for operator approval. |
Both actions conform to the locked ActionFrontmatter Zod schema in
plans/atelier/drafts/action-frontmatter.ts. Action bodies land in WP-16.
Routing
| If the user says… | Load | Then |
|---|---|---|
| "setup task roster", "configure skill-tasks", "who should tasks be assigned to" | actions/setup.md |
ai_infer or interview mode; writes .atelier/skill-tasks/roster.json + manifest.json |
| "sweep tasks", "close done tasks", "completion sweep", "what can be closed" | actions/sweep.md |
Read tasks + evidence tables; produce close-decision list; pause for operator approval |
What skill-tasks does NOT do
- No task CRUD — create/edit/delete/reassign tasks belongs to the tasks app pkg (
com.ikenga.tasks). - No email CRUD — mail records are read-only evidence for sweep decisions.
- No cross-queue triage — cross-domain triage (email + task queue together) stays in skill-pa; this skill owns the tasks-only sweep.
- No Supabase — state is local
ikenga.dbviahost.dbQuery/host.dbExeconly. - No direct DB writes from skill — approved close-decisions dispatch through the host write path; the skill itself does not call
host.dbExec.
What ships with it
3 files 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.
- 2mo ago First seen · 81 lines · 119 tokens per session scan A bba1a6987810
tasks is a skill published in the GitHub repository ikenga-hq/ikenga-pkgs (0 stars, last pushed today), licensed Apache-2.0. It adds 119 tokens to every session and 839 once invoked, about $0.0005 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 2026-08-31.
tasks compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tasksikenga-hq/ikenga-pkgs | Skill | 0 | today | Apache-2.0 | A | 119 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |