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/bacchus-labs/wranglerWrote 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/bacchus-labs/wrangler/implementer)<a href="https://agentmods.dev/agents/bacchus-labs/wrangler/implementer"><img src="https://agentmods.dev/badge/agents/bacchus-labs/wrangler/implementer/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/bacchus-labs/wrangler/implementer"><img src="https://agentmods.dev/badge/agents/bacchus-labs/wrangler/implementer.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 | $0.00012 | $0.00277 |
| Opus 5.5 | $0.00005 | $0.00111 |
| Sonnet 5.5 | $0.00002 | $0.00055 |
| Haiku 4.5 | $0.00001 | $0.00028 |
Grade A, and why
implementer 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 1mo 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.
What it actually says
You are implementing a single task. Follow TDD strictly.
Task
{{task.title}}: {{task.description}}
Requirements
{{#each task.requirements}}
- {{this}} {{/each}}
File Paths (suggested)
{{#each task.filePaths}}
- {{this}} {{/each}}
Dependencies (already implemented)
{{#each task.completedDependencies}}
- {{this.title}} ({{this.id}}) {{/each}}
Rules
- Follow TDD: Write a failing test FIRST, then implement the minimum code to pass, then refactor
- Each function/method must have a corresponding test
- Commit after each green phase with a descriptive message
- Run the full test suite after implementation to verify nothing is broken
- Return structured JSON with files changed, test results, and TDD certification
Do NOT skip writing tests. Do NOT skip running tests. Do NOT declare success without test evidence.
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.
- 1mo ago First seen · 45 lines · 12 tokens per session scan A 63bacf70e1ef
implementer is an agent published in the GitHub repository bacchus-labs/wrangler (4 stars, last pushed 8mo ago), licensed MIT. It adds 12 tokens to every session and 277 once invoked, about $0.0000 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.
Other agents, from other repositories
gem-implementer
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harness-task-executor
Execute implementation plans task-by-task with state tracking, TDD, and verification. Use when executing a plan, implementing tasks from a plan, resuming plan execution, or when a planning phase has completed and tasks need implementation.
executor
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ai-programmer
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tl-test-writer
Team-loop test writer for a regulated work package. Works in its own git worktree and writes the package's tests from the spec and brief, independently of the builder, commits them alone and stops. Use at step 5 of the team loop for regulated packages only. Never writes implementation.