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 agentmods add skills/jmagly/aiwg/eval-workflownpx skills add jmagly/aiwg --skill eval-workflowgit clone --depth 1 https://github.com/jmagly/aiwgWrote 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/jmagly/aiwg/eval-workflow)<a href="https://agentmods.dev/skills/jmagly/aiwg/eval-workflow"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/eval-workflow.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 | $0.00022 | $0.01038 |
| Opus 5 | $0.00011 | $0.00519 |
| Sonnet 5 | $0.00004 | $0.00208 |
| Haiku 4.5 | $0.00002 | $0.00104 |
Grade A, and why
eval-workflow 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 4d 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow Evaluation
Run automated evaluation tests against a multi-agent workflow.
Research Foundation
- REF-001: BP-9 - Continuous evaluation of agent performance
- REF-002: KAMI benchmark methodology for real agentic task evaluation
Usage
/eval-workflow flow-security-review-cycle
/eval-workflow flow-inception-to-elaboration --scenario distractor-test
/eval-workflow flow-deploy-to-production --verbose --strict
Arguments
| Argument | Required | Description |
|---|---|---|
| workflow-name | Yes | Workflow (flow command) to evaluate |
Options
| Option | Default | Description |
|---|---|---|
| --scenario | all | Specific scenario to run |
| --verbose | false | Show detailed test output |
| --output | stdout | Output file for results |
| --strict | false | Fail on any test failure |
| --timeout | 300 | Maximum seconds per scenario |
What Gets Evaluated
Orchestration Quality
- Agent coordination: Parallel agents launched correctly in single message
- Handoff fidelity: Artifacts pass correctly between phases
- Gate enforcement: Phase gates checked before transition
Archetype Resistance
grounding-test— Archetype 1: Premature action without reading statedistractor-test— Archetype 3: Context pollution from irrelevant artifactsrecovery-test— Archetype 4: Fragile execution when subagent fails
Output Validation
- Required artifacts created in correct
.aiwg/paths - Document structure matches templates
- Traceability links intact
Process
- Load Workflow: Read flow command definition
- Select Scenarios: Based on --scenario flag or all applicable
- Setup Workspace: Create isolated
.aiwg/working/test space - Execute Flow: Run workflow against each scenario
- Validate Outputs: Check artifact presence, structure, and content
- Generate Report: Output results with pass/fail per assertion
- Cleanup: Remove test workspace
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.
- 4d ago First seen · 143 lines · 22 tokens per session scan A 728eba1ece77
eval-workflow is a skill published in the GitHub repository jmagly/aiwg (208 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 1,038 once invoked, about $0.0001 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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archive
File the finished part of the run state into a dated archive — shipped items, research, opportunities, the rotated journal, and handled snags. The live files stay lean; the facts stay on disk.
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Read-only Nightshift diagnosis — workspace, rules, markers, session, process lease, watchman, deadline, and classified next actions. Use when a shift looks wrong, recovery is unclear, or the owner asks what Nightshift sees. Never repairs by being invoked.
import-issues
Stage explicitly selected GitHub issues onto the drafting table as quoted source. Never searches, never writes back to GitHub, never installs gh.
purge
Permanently delete this project's Nightshift state. Does not uninstall the plugin.
stop
Issue a stop-work order — pause the shift immediately, leaving unfinished items open.