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 contains-studio/fable-delegator --skill use-droidgit clone --depth 1 https://github.com/contains-studio/fable-delegatorWrote 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/contains-studio/fable-delegator/use-droid)<a href="https://agentmods.dev/skills/contains-studio/fable-delegator/use-droid"><img src="https://agentmods.dev/badge/skills/contains-studio/fable-delegator/use-droid.svg" alt="Measured on agentmods" 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 | $0.00084 | $0.01432 |
| Opus 5 | $0.00042 | $0.00716 |
| Sonnet 5 | $0.00017 | $0.00286 |
| Haiku 4.5 | $0.00008 | $0.00143 |
Grade A, and why
use-droid 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 8d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Droid (Factory) Subagent Skill
Spawn autonomous Factory Droid CLI (droid) subagents. Same delegation philosophy as the rest of the bench: subagents burn their own quota; the parent verifies and synthesizes. Droid is the second cross-provider hub (after cursor) — 40 built-in models across Anthropic, OpenAI, Google, xAI, Zhipu, Moonshot, DeepSeek, MiniMax, and NVIDIA.
Canonical headless invocation
droid exec --auto high -f /path/to/prompt.md \
-m <model> -r <effort> --cwd /path/to/repo -o text
Run in background (run_in_background: true) for anything non-trivial.
Flag notes (droid 0.170.0)
droid execdefaults to READ-ONLY. Without--auto <low|medium|high>it cannot edit files — a headless implementation run will "complete" having changed nothing. Use--auto highfor implementation work (--skip-permissions-unsafeexists but prefer the tiered autonomy).-f <path>reads the prompt from a file (no shell-quoting issues). A positional string prompt works for short ones.-m <model>— default isclaude-opus-4-8.-r <effort>sets reasoning effort (per-model defaults otherwise).-o jsonfor machine-parsable output;textfor direct reading.-w [name]— run in a git worktree (name becomes the branch).--cwdsets the working directory.--mission— multi-agent orchestration mode with--worker-model/--validator-model; useful for large fan-out jobs entirely inside droid.--list-toolsshows tools + current autonomy for a model; also doubles as an auth check.- Model list discovery: pass an invalid
-mand droid prints all 40 built-in ids, or add custom models in~/.factory/settings.json.
Model selection
No hard default — choose per task; -m auto lets droid pick. Built-in list from one verified install (2026-07; probe an invalid model id to re-derive on yours):
- Anthropic:
claude-fable-5,claude-opus-4-8[-fast],claude-opus-4-7[-fast],claude-opus-4-6,claude-sonnet-5,claude-sonnet-4-6,claude-haiku-4-5-20251001(haiku probe-verified headless, ~3.5s) - OpenAI:
gpt-5.6-sol/gpt-5.6-terra(probe-verified) /gpt-5.6-luna,gpt-5.5[-fast],gpt-5.5-pro,gpt-5.4[-fast],gpt-5.4-mini,gpt-5.3-codex[-fast],gpt-5.2,gpt-5.2-codex,gpt-5.1-codex-max - Google:
gemini-3.1-pro-preview,gemini-3.5-flash,gemini-3-flash-preview - xAI:
grok-4.5 - Others (often droid-exclusive):
deepseek-v4-pro,minimax-m3/m2.7/m2.5,nemotron-3-ultra,kimi-k2.6,glm-5.1(pluskimi-k2.7-code,glm-5.2[-fast]shared with cursor)
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.
- 8d ago First seen · 77 lines · 84 tokens per session scan A cfee210cea20
use-droid is a skill published in the GitHub repository contains-studio/fable-delegator (13 stars, last pushed 1mo ago), licensed MIT. It adds 84 tokens to every session and 1,432 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 2026-08-31.
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