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.
git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skillWrote 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/commands/osidemedia/higgsfield-ai-prompt-skill/refresh-specs)<a href="https://agentmods.dev/commands/osidemedia/higgsfield-ai-prompt-skill/refresh-specs"><img src="https://agentmods.dev/badge/commands/osidemedia/higgsfield-ai-prompt-skill/refresh-specs/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/commands/osidemedia/higgsfield-ai-prompt-skill/refresh-specs"><img src="https://agentmods.dev/badge/commands/osidemedia/higgsfield-ai-prompt-skill/refresh-specs.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 | $0.00038 | $0.01562 |
| Opus 5.5 | $0.00015 | $0.00625 |
| Sonnet 5.5 | $0.00008 | $0.00312 |
| Haiku 4.5 | $0.00004 | $0.00156 |
Grade A, and why
refresh-specs 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 19d 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The whole Tier-2 refresh as one guided run (CLAUDE.md § Rules → "Spec
refreshes"). Run it when the weekly spec-drift tripwire reports CHANGE, when a
spec snapshot nears 30 days, or on request. Work on a branch, never on main.
Hard limits for this command: read-only catalog calls only — models_explore
(action=list) on the Higgsfield MCP and higgsfield model list|get,
higgsfield --version on the CLI. Never call a generate_* tool or
higgsfield generate; nothing here spends credits.
Steps — stop at the first failure and report it:
-
Dump the catalog, verbatim, per type. Call
models_explorewith action=listfor each type:video,image,audio,3d. Write each response UNCHANGED (no reformatting, no trimming) tospecs/models_explore_snapshot_<YYYY-MM-DD>.json(video)specs/models_explore_snapshot_<type>_<YYYY-MM-DD>.json(image / audio / 3d) using today's date. If a response sayshas_more: true, it is one page of a paginated list — do not write it as a snapshot. Fetch the complete list; if that is not possible, stop and report (sync_specs.py refuses a partial dump anyway).
-
Sync each type:
python3 scripts/sync_specs.py --type video(thenimage,audio,3d). Read the stderr WARN lines: an "unmapped" claim or a duration "sentinel" warning means prose the generator would not guess at — report each one. New retired ids are printed as "tombstoned" (they are appended tospecs/retired-model-ids.json; never delete entries). -
Structural cross-check against the live CLI:
python3 scripts/snapshot_crosscheck.py(read-onlymodel list/get). It compares, per model in both sources, every snapshot enum option and default withhiggsfield model get --json, every CLI enum with the snapshot, aspect ratios, and media roles — and, per type, catalog membership (a model only one source lists:snapshot-only/cli-only). A snapshot-only model thatmodel listhides butmodel getanswers is compared structurally too. For each✗ DISAGREEdecide:- the snapshot is wrong or incomplete → re-dump (step 1), or
- it is a known representation difference → add an entry to
specs/crosscheck_allowlist.jsonnamingmodel,field,kind, the dateseen, and the exactdetailthe checker printed, plus anote; for a membership difference, verify the id live first (higgsfield model get <id> --json) and addmodel,kind(snapshot-only|cli-only),type,seenand anotesaying why (MCP-only id, list-hidden studio model, CLI-only variant or utility). Remove every entry reported asSTALE(a stale entry fails the run). The check must exit 0 before you continue: exit 3 (UNCHECKED— a type with no snapshot or zero models in both sources, or a CLI pull/shape failure) is never a pass. Known CLI↔MCP disagreements already allowlisted (seen 2026-09-26): gpt_image_2 defaults (resolution 1k vs 2k, quality low vs high), aspect ratios (CLI adds 4:5/5:4/auto) and media roles (mask); soul_cinematicsoul_id(MCP-only); role namingimage(MCP) vsimage_references(CLI) on image_auto, soul_cinematic, image_to_3d, multi_image_to_3d, sam_3_3d; and 23 membership differences (MCP-only ids such as sync_so / soul_2 / meshy_*; studio modelsmodel listhides butmodel getanswers; the CLI-only nano_banana_2 variants, nano_banana_flash, text2image_soul_v2, depth_anything_video, fps_boost). Note: the CLI has nomodel list --3dflag — 3d rows come from the unfiltered list by theirtypefield.
-
Audit the eval cases for moved models (v3.11.3 lesson):
python3 scripts/sync_specs.py --type <t> --changedfor each type lists models added / removed / changed since the previous snapshot and everyevals/cases/entry that names them (by id or display name). Open each listed case, check its claims against the new specs, and fix it in the same PR.
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.
- 19d ago First seen · 96 lines · 38 tokens per session scan A ec350d66ec5e
refresh-specs is a command published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (750 stars, last pushed 20d ago), licensed MIT. It adds 38 tokens to every session and 1,562 once invoked, about $0.0002 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 2026-09-28.
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