Borrowing it
Nothing to install: this file belongs to iLearn-Lab/EvoHarness. 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/iLearn-Lab/EvoHarness/main/.claude/agents/workflow-gardener.mdgit clone --depth 1 https://github.com/iLearn-Lab/EvoHarnessWrote 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/ilearn-lab/evoharness/workflow-gardener)<a href="https://agentmods.dev/agents/ilearn-lab/evoharness/workflow-gardener"><img src="https://agentmods.dev/badge/agents/ilearn-lab/evoharness/workflow-gardener/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/ilearn-lab/evoharness/workflow-gardener"><img src="https://agentmods.dev/badge/agents/ilearn-lab/evoharness/workflow-gardener.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 | $0.00018 | $0.00103 |
| Opus 5.5 | $0.00007 | $0.00041 |
| Sonnet 5.5 | $0.00004 | $0.00021 |
| Haiku 4.5 | $0.00002 | $0.00010 |
Grade A, and why
workflow-gardener 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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 · 14 lines · 18 tokens per session scan A 9043bcbf166d
workflow-gardener is an agent published in the GitHub repository iLearn-Lab/EvoHarness (58 stars, last pushed 3mo ago), with no licence file. It adds 18 tokens to every session and 103 once invoked, about $0.0001 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 2026-08-30.
Other agents, from other repositories
requirements-reviewer
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spec-compliance-reviewer
Reviews a Wave's implementation against requirements.md and tasks.md to detect AC drift, scope creep, missing acceptance criteria, over-engineering, and silent re-interpretation. Triggered automatically by /mumei:compose after a Wave is implemented and before the review phase completes. Does NOT review code quality…
issue-validator
Re-validates a single finding produced by another reviewer with fresh context. Returns valid / invalid / unsure. Triggered by /mumei:compose after the 3 reviewers complete (spec-compliance / security / adversarial) — invoked once per finding in parallel for severity=HIGH/CRITICAL findings. Filters false positives…
memory-curator
Independent evaluator that scores a candidate memory entry from a reviewer agent against a 7-axis rubric (generality, recurrence, longevity, coveragegap, actionability, density, confidence) and decides ADD / UPDATE / SKIP. Triggered by /mumei:compose Phase 5 Stage 6 and /mumei:peruse after each review-pipeline…
property-author
Writes a property-based test from an Invariant declaration WITHOUT seeing the production implementation. Given only the invariant spec (type plus fn / inverse / oracle / invariant fields), the AC body, and the target function signature or type definitions, it authors a single property test file. Triggered by…
analyzer
MANDATORY AGENT FOR ROOT CAUSE ANALYSIS, SYSTEM DESIGN, CODE REVIEW, AND DEAD-END DIAGNOSTICS. SPECIFIC TRIGGERS: (1) RCA: developer reported an error or tester failed an Assert — trace call chain, find exact broken file:line locally via Ripgrep / AST; (2) pre-code analysis: call BEFORE developer when task needs…