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 contentgit 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/content)<a href="https://agentmods.dev/skills/ikenga-hq/ikenga-pkgs/content"><img src="https://agentmods.dev/badge/skills/ikenga-hq/ikenga-pkgs/content/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/content"><img src="https://agentmods.dev/badge/skills/ikenga-hq/ikenga-pkgs/content.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 | $0.00201 | $0.01406 |
| Opus 5 | $0.00101 | $0.00703 |
| Sonnet 5 | $0.00040 | $0.00281 |
| Haiku 4.5 | $0.00020 | $0.00141 |
Grade A, and why
content 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 7d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
content — dispatch-only content pipeline 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, base-columns-only constraint) 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.
Pipeline-stages convention: This skill extends the R-04 Pipeline-stages convention to the content domain.
pipeline-sweepproposals carryux_modeper the §Pipeline-stages mapping —silentfor intra-stage agent moves,confirmfor operator one-offs,approvefor terminal-crossing or any outward dispatch. The content stage enum is:idea → outline → draft → review → scheduled(terminal:published). See06-skill-action-contract.md§Pipeline-stages.
G-VIDEO-STACK (R23): Video pieces appear in the pipeline as tracking entries only. No video-production actions ship in this skill. Remotion-based production belongs to
com.ikenga.studio.
R-03 (Query-collapse): No query actions are present. Domain skills are permanently dispatch-only. Interactive questions route through
skill-query.
Purpose (one line)
Surface next-action proposals for open content pieces and flag editorial
pipeline-stall — reading ikenga.db state (pre-0047 base columns only), never
owning CRUD.
Dispatch actions
| Action | File | Mode | One-liner |
|---|---|---|---|
setup |
actions/setup.md |
streaming |
Configure the content pipeline: channels, series, cadence. Writes .atelier/skill-content/manifest.json. |
pipeline-sweep |
actions/pipeline-sweep.md |
approve |
Read open pieces (pre-0047 columns), produce stage-advance proposals with evidence, flag pieces stuck past stale threshold; pause for operator approval. |
draft-piece |
actions/draft-piece.md |
confirm |
Draft a new content piece in dock chat (D-02 setup-in-chat pattern); pane/host path writes the row. |
What ships with it
4 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.
- 7d ago First seen · 106 lines · 201 tokens per session scan A bc32fc940884
content is a skill published in the GitHub repository ikenga-hq/ikenga-pkgs (0 stars, last pushed today), licensed Apache-2.0. It adds 201 tokens to every session and 1,406 once invoked, about $0.0010 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 2026-08-31.
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