Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add indranilbanerjee/socialforge/plugin install socialforgeWrote 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/indranilbanerjee/socialforge/ideate-month)<a href="https://agentmods.dev/skills/indranilbanerjee/socialforge/ideate-month"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/socialforge/ideate-month/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/indranilbanerjee/socialforge/ideate-month"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/socialforge/ideate-month.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 | $0.00177 | $0.01768 |
| Opus 5 | $0.00088 | $0.00884 |
| Sonnet 5 | $0.00035 | $0.00354 |
| Haiku 4.5 | $0.00018 | $0.00177 |
Grade A, and why
ideate-month 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 9d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/socialforge:ideate-month — the month before the calendar exists
SocialForge's pipeline starts at parse-calendar — someone hands it a calendar.
This skill is for when nobody has: the client asks "what should this month be
about?", and that question is the actual work they are paying for.
The output is a draft calendar in the exact shape parse-calendar ingests,
so an approved plan flows into production with zero re-typing.
Inputs — use whichever exist, say which were missing
- The brand profile (required) — pillars, voice, platforms, compliance
rules from
brand-config.json. No profile → stop and run/socialforge:brand-setupfirst. Ideating without pillars produces generic content for nobody. - A theme or business context (optional) — a launch, a season, a campaign the client named.
- Raw signals (optional) — pasted news, industry threads, competitor moves, sales-call notes, community questions. Mine them; never use them as filler. Every signal either maps to a pillar and a concrete angle, or it is dropped and listed as dropped, with the reason.
- Last month's results (optional) — measured first, anecdote second:
- Measured: run
python ${CLAUDE_PLUGIN_ROOT}/scripts/ingest_performance.py --action wins --brand {brand} --month {last-month}. If aperformance.jsonexists (built by/socialforge:ingest-performancefrom the platform's own analytics export), this returns winners ranked with a sample floor and a margin over the month's median engagement rate — plus an honestno_clear_winswhen the month was flat. A win here is validated audience demand: plan its compounding follow-ups. - Anecdotal: the review gallery, status tracker, or anything the client reports as having worked. Usable, but labeled — see the output rules.
- If the measured path has no data, say so and offer to ingest an export first; a two-minute CSV ingest upgrades the whole plan's foundation.
- Measured: run
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.
- 9d ago First seen · 138 lines · 177 tokens per session scan A bb8b19045b07
ideate-month is a skill published in the GitHub repository indranilbanerjee/socialforge (37 stars, last pushed 23d ago), licensed MIT. It adds 177 tokens to every session and 1,768 once invoked, about $0.0009 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 2026-08-30.
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