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 NanmiCoder/open-image-prompts --skill img-gen-promptsgit clone --depth 1 https://github.com/NanmiCoder/open-image-promptsWrote 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/nanmicoder/open-image-prompts/img-gen-prompts)<a href="https://agentmods.dev/skills/nanmicoder/open-image-prompts/img-gen-prompts"><img src="https://agentmods.dev/badge/skills/nanmicoder/open-image-prompts/img-gen-prompts/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/nanmicoder/open-image-prompts/img-gen-prompts"><img src="https://agentmods.dev/badge/skills/nanmicoder/open-image-prompts/img-gen-prompts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00074 | $0.01045 |
| Opus 5 | $0.00037 | $0.00522 |
| Sonnet 5 | $0.00015 | $0.00209 |
| Haiku 4.5 | $0.00007 | $0.00104 |
Grade A, and why
img-gen-prompts 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 11d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Img Gen Prompts
Act as the evidence and retrieval layer. Use only the latest paired
oip-visual-v2 archive. Every recommended record must include a real image,
unchanged source prompt, source URL, author, stable ID, and explainable match.
Never fall back to legacy/V1 data or generic web image search.
Locate and verify the archive
Resolve this Skill's directory and run its bundled script by absolute path. It
finds the checkout from the current directory, a symlinked Skill path, or
OIP_REPO_ROOT; copied installations outside the checkout must set that
variable.
python3 <absolute-skill-directory>/scripts/oip.py status
Stop unless ready is true and the active taxonomy is exactly
oip-visual-v2. The dataset is not part of the repository: db/prompts.db.gz
and images/ are downloaded from GitHub Releases. If the archive, local images,
or gallery dependencies are missing, run npm run setup from the repository root
before continuing.
If the script reports that the repository cannot be found, this Skill was installed as a copy outside a checkout. Point it at one, or create one:
git clone https://github.com/NanmiCoder/open-image-prompts.git
cd open-image-prompts
npm run data:pull # add :db to skip the multi-gigabyte image packs
export OIP_REPO_ROOT="$PWD"
Search and retrieval work without the image packs; only local image preview needs them, and the gallery falls back to each record's source URL. This Skill is read-only: never activate a taxonomy, label records, publish data, or modify the database.
Search the user's actual intent
python3 <absolute-skill-directory>/scripts/oip.py search \
--intent "雨夜霓虹小巷里的电影感人像" --limit 8
python3 <absolute-skill-directory>/scripts/oip.py get --id <tweet_id>
Pass the user's wording without embellishing it with guessed styles, subjects,
or negative constraints. Inspect parsed_intent, match_reasons, tags, and
absolute_image_paths; open representative images before judging quality.
Read references/retrieval-contract.md when interpreting constraints or an
empty result.
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.
- 11d ago First seen · 111 lines · 74 tokens per session scan A f8c733ca7227
img-gen-prompts is a skill published in the GitHub repository NanmiCoder/open-image-prompts (244 stars, last pushed today), licensed MIT. It adds 74 tokens to every session and 1,045 once invoked, about $0.0004 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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