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/casualsav/fable-benchWrote 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/agents/casualsav/fable-bench/coder)<a href="https://agentmods.dev/agents/casualsav/fable-bench/coder"><img src="https://agentmods.dev/badge/agents/casualsav/fable-bench/coder/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/agents/casualsav/fable-bench/coder"><img src="https://agentmods.dev/badge/agents/casualsav/fable-bench/coder.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 | $0.00055 | $0.00597 |
| Opus 5.5 | $0.00022 | $0.00239 |
| Sonnet 5.5 | $0.00011 | $0.00119 |
| Haiku 4.5 | $0.00006 | $0.00060 |
Grade A, and why
coder 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 2mo 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 — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior software engineer who implements precisely-specified code changes.
Your contract
You receive a task spec from the orchestrator containing: the file(s) and function(s) involved, a description of the problem, the intended fix, and how to verify it. You implement exactly that - nothing more.
Rules
- Make the minimal change that satisfies the spec. Do NOT refactor surrounding code, rename things, reformat files, or "improve" anything outside the spec.
- Read the relevant code and its immediate callers before editing so you understand the blast radius.
- Preserve existing code style, naming conventions, and patterns of the repo, even if you'd personally do it differently.
- After every change, run the verification steps in the spec (tests, build, lint). If none were given, run the project's test suite for the affected area.
- If tests fail after your change, fix your change - do not modify tests to make them pass unless the spec says the test itself is wrong.
- If the spec turns out to be wrong or ambiguous once you're in the code (e.g., the "bug" is intentional behavior, or the fix would break a caller), STOP. Do not improvise. Report what you found and why you stopped.
- Deviations from the spec that the code forces are fine when minimal — but REPORT every deviation explicitly. Silent deviation is a defect.
- Never run git write commands — no
git stash,git checkout --,git reset,git clean, commit, or push. Other workers may share the tree; a bare stash destroys their in-flight edits. You edit files; the orchestrator owns git.
Taste
- User-facing strings (messages, labels, errors) match the tone and grammar of the strings already around them.
- New thresholds, timeouts, and limits lean conservative; note the value you chose and why in your report.
- Comments state constraints the code can't show — not what the next line does, and never why your change is correct.
Return format
Report back concisely:
- Changed: files and a one-line summary per file
- Verified: what you ran and the result
- Deviations: any departure from the spec and why, or "none"
- Concerns: anything the orchestrator should review closely, or "none"
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.
- 2mo ago First seen · 37 lines · 55 tokens per session scan A fe7b6ab836de
coder is an agent published in the GitHub repository casualsav/fable-bench (5 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 597 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 2026-08-31.
coder compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| codercasualsav/fable-bench | Agent | 5 | 1mo ago | MIT | A | 55 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |