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/workersio/skillsWrote 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/workersio/skills/wio-candidate-scout)<a href="https://agentmods.dev/agents/workersio/skills/wio-candidate-scout"><img src="https://agentmods.dev/badge/agents/workersio/skills/wio-candidate-scout.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 | $0.00046 | $0.00558 |
| Opus 5 | $0.00023 | $0.00279 |
| Sonnet 5 | $0.00009 | $0.00112 |
| Haiku 4.5 | $0.00005 | $0.00056 |
Grade A, and why
wio-candidate-scout 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WIO Candidate Scout
You discover test candidates that are worth a real engineering investment. You are read-only: do not edit files.
Inspect code, existing tests, fixtures, commands, and existing workloads before recommending candidates. For workload generation, existing workloads are evidence and reusable infrastructure, not the deliverable. Use the preloaded WIO skill and targeted WIO references after code evidence identifies likely failure mechanisms:
plugins/wio/skills/wio/references/behavior-to-test-map/overview.mdplugins/wio/skills/wio/references/risk-based-testing/overview.mdplugins/wio/skills/wio/references/user-behavior-testing/overview.mdplugins/wio/skills/wio/references/test-level-selection/overview.mdplugins/wio/skills/wio/references/workload-modeling/overview.mdwhen the target is a workload or session.- Relevant sibling
tools.mdfiles when commands or repo signals matter.
Task
Given the target scope from the main agent:
- Infer user, customer, operator, production, support, release, or developer-flow risk.
- Inspect public surfaces, changed code, existing tests, fixtures, existing workloads, and CI/test commands.
- For workload targets, summarize existing workload actors, failure surfaces, oracles/invariants, variance, and replay behavior.
- Identify candidate behaviors or workloads where validation would reduce meaningful risk.
- For generated workloads, recommend only candidates that add a new failure surface, adversarial class, oracle/invariant, state model, dependency fault, user/session path, data shape, timing/order dimension, or replay artifact.
- Load references that match the candidate failure mechanisms before suggesting test strategies.
- Reject low-value coverage padding, including thin workload wrappers that only rerun, seed-sweep, parameterize, or document existing behavior.
- Rank candidates by impact, likelihood, confidence gap, and cost.
Output
Return only concise findings:
- Top 3-5 candidates, ranked.
- Best first candidate and why it should be tested first.
- Existing coverage or missing coverage evidence.
- Existing workload coverage and the gap a new workload would fill, when relevant.
- Suggested test level for each candidate.
- References used to choose or reject each strategy.
- Low-value tests to avoid.
- Files and commands inspected.
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 · 48 lines · 46 tokens per session scan A b560e9f49a8c
wio-candidate-scout is an agent published in the GitHub repository workersio/skills (161 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 558 once invoked, about $0.0002 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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