Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/adaptocms/adapto-cms-agent-skillsnpx agentmods add skills/adaptocms/adapto-cms-agent-skills/adapto-content-planWrote 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/adaptocms/adapto-cms-agent-skills/adapto-content-plan)<a href="https://agentmods.dev/skills/adaptocms/adapto-cms-agent-skills/adapto-content-plan"><img src="https://agentmods.dev/badge/skills/adaptocms/adapto-cms-agent-skills/adapto-content-plan/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/adaptocms/adapto-cms-agent-skills/adapto-content-plan"><img src="https://agentmods.dev/badge/skills/adaptocms/adapto-cms-agent-skills/adapto-content-plan.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 | $0.00066 | $0.01355 |
| Opus 5 | $0.00033 | $0.00678 |
| Sonnet 5 | $0.00013 | $0.00271 |
| Haiku 4.5 | $0.00007 | $0.00136 |
Grade A, and why
adapto-content-plan 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 10d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
adapto:content-plan
The second pipeline step (content-pipeline.md). It reads the latest research dossier and the brain, proposes the top content directions for the cycle, works with you to pick and shape them, and writes a dated cycle plan of per-piece briefs — the spec the writer turns into drafts. It also writes the ledger rows that track each piece. No CMS writes.
Autonomous-safe (studio.md §4): local, no CMS writes — an autonomous cycle can run this unattended; the cycle parks at the human gate before
adapto:content-upload.
When to use
- "Plan this week's content", "what should we write — pick the slate", "turn the research into a plan".
- After
adapto:content-researchhas produced a dossier.
When not to use
- Gathering the research itself →
adapto:content-research. - Writing the drafts →
adapto:content-create. - Creating the schema a brief needs →
adapto:schema-design/adapto:schema-apply.
Inputs
- The latest dossier(s) in
.adapto/research/(and their menu of opportunities). - The brain (pillars, audience, seo, voice) for fit + voice.
- The ledger (
.adapto/ledger.json) — to avoid re-proposing covered/planned pieces and to size the cycle against thecadence.mdtarget (if set).
Outputs
- A dated cycle plan
.adapto/plans/<YYYY-MM-DD>-cycle.md: the chosen pieces, each as a brief (content-pipeline.md §3 — title, slug, type, target/secondary queries, intent, audience, angle, outline, internal links, AEO questions, meta intent, cornerstone, references), each anchored by its slug. - Ledger rows for each chosen piece (
status: proposed→briefed; pillar, target_query, cycle). - Next step:
adapto:content-create— write the briefed pieces. (Oradapto:schema-designfirst if a piece needs a new content type — the schema loop.)
Planning (propose → pick → brief)
- Synthesize the dossier + brain into a ranked top-N directions (default 10) for this cycle — each a
one-line title + angle + the query/intent it targets + its pillar. Size to
cadence.mdif set. - Present them as pickable options (conventions.md §10) and work with the user: keep/drop/reshape, add their own ideas, mark which (if any) are cornerstone (top-tier writing). Don't write full content — this is direction-setting.
- Schema check (the loop). For each pick, confirm its
typeexists: built-inarticle/page, or a custom collection present in.adapto/schema.json. If a pick needs a new collection (e.g. case studies), flag it and route toadapto:schema-design→adapto:schema-applybefore that piece can be created/uploaded. - Write briefs — expand each kept direction into a full brief (content-pipeline.md §3) in the dated cycle
plan, and add/refresh its ledger row. Then state the slate and point to
adapto:content-create.
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.
- 10d ago First seen · 82 lines · 66 tokens per session scan A 06505015b44a
adapto-content-plan is a skill published in the GitHub repository adaptocms/adapto-cms-agent-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 1,355 once invoked, about $0.0003 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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