Borrowing it
Nothing to install: this file belongs to florafauna-ai/flora-mcp-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/florafauna-ai/flora-mcp-skills/main/.agents/skills/flora-run-technique/SKILL.mdgit clone --depth 1 https://github.com/florafauna-ai/flora-mcp-skillsWrote 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/florafauna-ai/flora-mcp-skills/flora-run-technique)<a href="https://agentmods.dev/skills/florafauna-ai/flora-mcp-skills/flora-run-technique"><img src="https://agentmods.dev/badge/skills/florafauna-ai/flora-mcp-skills/flora-run-technique/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/florafauna-ai/flora-mcp-skills/flora-run-technique"><img src="https://agentmods.dev/badge/skills/florafauna-ai/flora-mcp-skills/flora-run-technique.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 | $0.00108 | $0.00720 |
| Opus 5 | $0.00054 | $0.00360 |
| Sonnet 5 | $0.00022 | $0.00144 |
| Haiku 4.5 | $0.00011 | $0.00072 |
Grade A, and why
flora-run-technique 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 12d 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Run a FLORA technique
A technique is a saved workflow that chains several models. It is the thing FLORA does that a single image model cannot: the steps, prompts, and model choices are fixed by whoever authored it, so the same technique gives the same treatment every time.
Input: the user's intent, plus any source image. Output: the technique's output URLs, the charged cost, and the project the run landed in.
Steps
-
Resolve the workspace. Call
flora_list_workspaces. If there is more than one, ask which to bill before spending anything. -
Find the technique. Call
flora_list_techniquesand match on the user's intent. It returnsrun_costand a summary of inputs for each. If nothing fits, say so and offerflora_generateinstead — do not force an unrelated technique. -
Get the exact input ids. Call
flora_get_technique. Its declared input ids are the keysflora_run_techniqueexpects. Never guess them from the name. -
Get each image input to an HTTPS URL (see Image inputs below).
-
Run it. Call
flora_run_techniquewithworkspace_id,technique_id, and aninputsobject keyed by those ids. Omit optional text inputs entirely when the user gave no direction — an empty string is rejected, not treated as absent. -
Poll and report. Poll
flora_get_rununtil status iscompletedorfailed. Report the output URL, the charged cost, and a link to the project.
Image inputs
FLORA fetches images server-side from an HTTPS URL. Files the user attaches in
ChatGPT already have one — they are hosted on files.openai.com or
cdn.openai.com, both allowlisted. Pass that URL straight to
flora_create_asset as source, or into the technique input directly.
Never base64-encode a file or try to upload bytes. If the image genuinely has no URL, say that this environment cannot upload it and point the user at their FLORA project to add it there.
Rules
- State the cost before running.
run_costcomes back fromflora_list_techniques. Techniques range from free to several dollars per run. - You cannot see the output. Runs return URLs, not pixels. Describe what was produced from the technique and the inputs; never claim to have looked at it.
- On
input_validation_error, re-readflora_get_technique, rebuildinputsfrom what it returns, and retry once. Do not retry other failures — retries bill. - On insufficient credits, surface the message and stop.
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.
- 12d ago First seen · 58 lines · 108 tokens per session scan A e18230bbae2c
flora-run-technique is a skill published in the GitHub repository florafauna-ai/flora-mcp-skills (8 stars, last pushed today), licensed MIT. It adds 108 tokens to every session and 720 once invoked, about $0.0005 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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