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 cfongai/higgsfield-content-pipeline --skill higgsfield-generategit clone --depth 1 https://github.com/cfongai/higgsfield-content-pipelineWrote 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/cfongai/higgsfield-content-pipeline/higgsfield-generate)<a href="https://agentmods.dev/skills/cfongai/higgsfield-content-pipeline/higgsfield-generate"><img src="https://agentmods.dev/badge/skills/cfongai/higgsfield-content-pipeline/higgsfield-generate/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/cfongai/higgsfield-content-pipeline/higgsfield-generate"><img src="https://agentmods.dev/badge/skills/cfongai/higgsfield-content-pipeline/higgsfield-generate.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 | $0.00258 | $0.05068 |
| Opus 5.5 | $0.00103 | $0.02027 |
| Sonnet 5.5 | $0.00052 | $0.01014 |
| Haiku 4.5 | $0.00026 | $0.00507 |
Grade C, and why
higgsfield-generate scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
11 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.
- references/marketing-ad-references.md 4.2 KB
- references/marketing-avatars.md 1.4 KB
- references/marketing-brand-kits.md 2.2 KB
- references/marketing-dtc-ads.md 4.6 KB
- references/marketing-modes.md 3.3 KB
- references/marketing-products.md 1.5 KB
- references/marketing-setup-items.md 2.6 KB
- references/media-inputs.md 4.5 KB
- references/model-catalog.md 14 KB
- references/prompt-engineering.md 1.5 KB
- references/troubleshooting.md 1.3 KB
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 · 298 lines · 258 tokens per session scan C 7e3555d6e51e
higgsfield-generate is a skill published in the GitHub repository cfongai/higgsfield-content-pipeline (33 stars, last pushed 2mo ago), with no licence file. It adds 258 tokens to every session and 5,068 once invoked, about $0.0010 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
higgsfield-generate compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| higgsfield-generatecfongai/higgsfield-content-pipeline | Skill | 33 | 2mo ago | none | C | 258 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |