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 skills add sumithr/sumo-qa --skill sumo-qa-deciding-approachgit clone --depth 1 https://github.com/sumithr/sumo-qaWrote 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/sumithr/sumo-qa/sumo-qa-deciding-approach)<a href="https://agentmods.dev/skills/sumithr/sumo-qa/sumo-qa-deciding-approach"><img src="https://agentmods.dev/badge/skills/sumithr/sumo-qa/sumo-qa-deciding-approach/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/skills/sumithr/sumo-qa/sumo-qa-deciding-approach"><img src="https://agentmods.dev/badge/skills/sumithr/sumo-qa/sumo-qa-deciding-approach.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 | $0.00063 | $0.03382 |
| Opus 5.5 | $0.00025 | $0.01353 |
| Sonnet 5.5 | $0.00013 | $0.00676 |
| Haiku 4.5 | $0.00006 | $0.00338 |
Grade A, and why
sumo-qa-deciding-approach 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 24d 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deciding the QA approach
This hop is silent. It is internal orchestration: no announcement, checklist, status, taxonomy label, or routing payload reaches the user. Routed: the next skill's answer is the first thing they read. STOP: a short plain-English answer (decision + evidence).
Output discipline (mandatory)
Inherits the global discipline from using-sumo-qa: output discipline (never surface internal taxonomy labels — say "behaviour change in pricing", not "Classification: business_logic_change"), output economy (spend output on findings not framing; no preamble or self-narration; one question per turn; no closing pleasantries), knowledge authority hierarchy, internal scaffolding stays internal, and specialty-tool fit.
The Iron Law
SHAPE FIRST, then REACHABILITY. Decide single-change vs repo-wide vs no-tests-recommended before picking a per-change approach — wrong shape means wrong-shaped tests. When the shape is single-change, check reachability/load-bearing before picking a test-writing approach — orphan code routes to recommend-removal, not test scaffolding.
When to Use
using-sumo-qa routes here on every QA-shaped intent; this skill ALWAYS runs before any other QA skill. Even simple intents pass through — no-tests-recommended and verify-existing exist for cases that don't merit new tests.
Checklist
Work through these in order as private reasoning. Never render them in chat: no numbered tracker, no [DONE] statuses, no step narration. If the host has a task primitive, keep this hop off it; a visible router checklist is the leak this skill exists to prevent.
- Read the user's intent verbatim and any supplied target paths.
- Call
sumo_qa_load_classifications()andsumo_qa_load_approaches(), this router's own loads (see Catalogue responsibilities). - Reason about classification: which single catalogue entry is the PRIMARY one? Decide it by the executable-behaviour rule, not path; cite the words internally. Then run the grounded security-relevance pass (see
using-sumo-qa) on ORDINARY work too, not only explicit security requests: if the change ALSO touches auth/authorisation, secrets, input sanitisation, rate limiting, audit logging, or a security-relevant config/dependency movement, note internally thatsecurity_changeco-applies (it does NOT replace the primary classification) so the routed sub-skill carries that grounded gap forward — no parallel taxonomy; not grounded → don't add it. The routing payload still emits the single primaryclassification. - Reason about shape: single change vs repo-wide / strategy ask vs config tweak vs docs-only? Strategy-shaped asks ("audit", "strategy", "pyramid", "rollout") route to
strategy-orchestration— do NOT force per-change output. - Run the removability gate BEFORE picking a test-writing approach. If the user named target paths and the code is orphaned — zero internal callers, zero CI/workflow refs, zero README/docs refs, no entry-point declaration (
pyproject [project.scripts],package.json scripts, etc.) — set the approach torecommend-removalregardless of natural classification, and surface the reachability evidence in the rationale. If reachability is genuinely ambiguous (external cron, hand-invoked tooling, public CLI), ask ONE clarifying question. - Pick the approach. Security-test requests or material grounded security gaps needing deeper evidence route to
security-focused-qa; simple gaps stay as test/review/static/dynamic/config/dependency actions. The catalogue is authoritative; usen/aonly when no catalogue approach fits and capture the non-canonical surface inrationale. - If a real ambiguity remains (e.g. user said "test the thing" with no paths and no domain), ask ONE clarifying question. Otherwise, do not ask.
- Return INTERNALLY using the Routing-payload shape below — routing data the next skill consumes, NOT user output. Route to the named sub-skill silently (security testing: via its bundle); it produces what the user sees. On STOP, answer in plain English instead.
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.
- 24d ago Changed · +1 lines cc64981ad472
- 26d ago Changed 18c85dfe8b37
- 27d ago Changed 5f72f8d201c3
- 1mo ago Changed · -1 lines · +3 tokens per session e9c9953d3234
- 2mo ago First seen · 145 lines · 60 tokens per session scan A 0719ca8c7ea0
sumo-qa-deciding-approach is a skill published in the GitHub repository sumithr/sumo-qa (7 stars, last pushed yesterday), licensed Apache-2.0. It adds 63 tokens to every session and 3,382 once invoked, about $0.0003 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 skills, from other repositories
live-audit
Audit steam-games-mcp — build/test/lint gate, live MCP tool edge-case sweep (input validation, SteamID64/vanity/appid edge cases, key-gating), and source-level code review. Use when asked to test/audit the published or just-fixed steam-games-mcp package, hunt for bugs/edge cases, or repeat "the same kind of testing as…
pr-quality-cycle
Combined PR quality workflow: address inline review comments AND fix Codecov patch coverage gaps in one end-to-end cycle. Use when a PR has both review feedback and coverage regression, or when you want a single checklist that covers triage, code fixes, test additions, verification, and push-gate validation before…
sugar-quality-guardian
Guides an agent to review code for quality, testing, security, and performance before completion. Use when reviewing a pull request, diff, or code change for quality; enforcing test coverage and standards; validating security (injection, auth, hardcoded secrets); assessing code smells and anti-patterns; or producing a…
adk-go-self-review
Review an ADK Go change the way a maintainer will — a fresh-context pass over the whole diff, five lenses (correctness and tests, scope, simplicity, style, adk-python parity), and the mutation check that proves your tests pin the change. Use before opening a PR, before any later push that changes code, and when asked…
adversarial-reviewer
Stress-test a code change for concrete correctness defects, unsafe assumptions, and failure modes. Use when the user explicitly asks for an adversarial review, a deep bug hunt, or to tear a change apart, or to check your own change before submitting it. Do not use for ordinary review, style feedback, or general…
brooks-sweep
Full-sweep mode: runs a unified analysis across all quality dimensions — code decay, architecture, tech debt, and test quality — then applies fixes directly to the codebase. Safe changes are auto-applied; risky changes are confirmed before execution. Drawing on twelve classic engineering books. Triggers when: user…