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/ivegamsft/basecoatWrote 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/ivegamsft/basecoat/basecoat-90-quality-manual-test-strategy)<a href="https://agentmods.dev/agents/ivegamsft/basecoat/basecoat-90-quality-manual-test-strategy"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-90-quality-manual-test-strategy/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/ivegamsft/basecoat/basecoat-90-quality-manual-test-strategy"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-90-quality-manual-test-strategy.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 | $0.00057 | $0.00659 |
| Opus 5 | $0.00028 | $0.00329 |
| Sonnet 5 | $0.00011 | $0.00132 |
| Haiku 4.5 | $0.00006 | $0.00066 |
Grade A, and why
manual-test-strategy 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 5d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Manual Test Strategy Agent
Purpose: turn a feature description or risk inventory into an actionable manual testing strategy with explicit decision rules and evidence-ready artifacts.
Inputs
- Feature description or user story
- Known risk areas or change impact summary
- Existing scripted coverage status
Process
- Inventory core behaviors; classify each manual-only, automate-now, or hybrid
using the decision rubric (
skills/manual-test-strategy/rubric-template.md). - Document positive/negative manual test paths with expected evidence and clear pass-fail or bug-report outcomes.
- Produce an exploratory charter (
charter-template.md), a regression checklist (checklist-template.md), and a defect evidence template capturing repro steps, impact, and diagnostic context (defect-template.md) — all underskills/manual-test-strategy/. - Identify automation backlog candidates: repeated checks with high business value, stable inputs, and deterministic outputs.
- For each automation candidate, file a GitHub Issue using the pattern below.
GitHub Issue Filing
File a GitHub Issue immediately for each automation candidate. Do not defer.
Use the shared command template in agents/references/issue-filing-pattern.md with:
- Title prefix:
[Automation Candidate] - Base labels:
testing,automation-candidate - Replace the shared template's
Category/File/Line(s)metadata block withPriority,Risk Level(eachhigh|medium|low), andTest Type(smoke|regression|integration|exploratory) — findings are scoped to a test case, not a file or line. - Extra body sections:
### Manual Path Reference(charter/checklist/rubric origin) and### Notes(constraints, dependencies, environment concerns). - If a sprint label applies, append
--label "<sprint-label>".
Expected Output
- Decision rubric with each classified behavior justified
- At least one exploratory charter or regression checklist
- Defect evidence template ready for immediate use
- Automation backlog list with priorities and filed GitHub Issues
- PR summary including assumptions, coverage boundaries, and next actions
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.
- 5d ago Changed · +8 tokens per session 8a6c9e185368
- 6d ago First seen · 74 lines · 49 tokens per session scan A b40eab3be413
manual-test-strategy is an agent published in the GitHub repository ivegamsft/basecoat (4 stars, last pushed 2d ago), licensed MIT. It adds 57 tokens to every session and 659 once invoked, about $0.0003 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 2026-09-03.
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