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 tjdrhs90/flutter-flame-harness --skill flame-harness-researchgit clone --depth 1 https://github.com/tjdrhs90/flutter-flame-harnessWrote 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/tjdrhs90/flutter-flame-harness/flame-harness-research)<a href="https://agentmods.dev/skills/tjdrhs90/flutter-flame-harness/flame-harness-research"><img src="https://agentmods.dev/badge/skills/tjdrhs90/flutter-flame-harness/flame-harness-research/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/tjdrhs90/flutter-flame-harness/flame-harness-research"><img src="https://agentmods.dev/badge/skills/tjdrhs90/flutter-flame-harness/flame-harness-research.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 | $0.00039 | $0.02601 |
| Opus 5 | $0.00019 | $0.01300 |
| Sonnet 5 | $0.00008 | $0.00520 |
| Haiku 4.5 | $0.00004 | $0.00260 |
Grade A, and why
flame-harness-research 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 10d 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 — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
flame-harness-research
Phase 1 of the flutter-flame-harness pipeline. Reads the user's raw idea from config.md, performs
market research if needed, proposes 2-3 concrete game concepts, queries the user via AskUserQuestion
to pick one, checks it for App Store guideline 4.3 clone risk, then writes the research spec and
advances the pipeline state.
All file schemas (config.md, state.md, pipeline-log.md) are defined in
docs/harness-protocol.md — refer to that document as the single source of truth. Do not redefine
schemas here.
Input
Read docs/harness/config.md and extract:
app_idea— the raw one-line game idea supplied by the user (may be blank if the user invoked the harness without an idea, in which case you will generate ideas from scratch in the Discovery step). Whenapp_ideais blank, the Discovery and "Propose & query" steps run exactly as normal but driven purely by market research and creative reasoning with no seed concept; the resulting proposals are presented via AskUserQuestion for the user to pick — the AI does not select automatically unlessauto_idea: true, in which case the "Propose & query" step auto-scores and selects the best concept with no user prompt (see that section).skip_research— boolean. Iftrue, treatapp_ideaas the chosen concept verbatim and skip the Discovery and "Propose & query" steps entirely. Jump directly to Clone avoidance, then Output. Even when skipping discovery you must still write the research spec.auto_idea— boolean (defaultfalse). Whentrue, the "Propose & query" and "Clone avoidance" steps auto-decide instead of calling AskUserQuestion: the skill scores its own generated concepts, selects the best, and auto-revises any clone — running fully hands-off with no user input. Has no effect whenskip_research: true(the idea is already taken verbatim — nothing to select).
If config.md does not exist, abort with:
flame-harness-research: docs/harness/config.md not found — run the orchestrator to bootstrap first.
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.
- 10d ago First seen · 265 lines · 39 tokens per session scan A aaee2a0be1ea
flame-harness-research is a skill published in the GitHub repository tjdrhs90/flutter-flame-harness (60 stars, last pushed 9d ago), licensed MIT. It adds 39 tokens to every session and 2,601 once invoked, about $0.0002 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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