Borrowing it
Nothing to install: this file belongs to sumithr/sumo-qa. 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/sumithr/sumo-qa/main/.github/copilot-instructions.mdgit 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/instructions/sumithr/sumo-qa/copilot-instructions)<a href="https://agentmods.dev/instructions/sumithr/sumo-qa/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/sumithr/sumo-qa/copilot-instructions/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/instructions/sumithr/sumo-qa/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/sumithr/sumo-qa/copilot-instructions.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 | $0.01053 | $0.01053 |
| Opus 5.5 | $0.00421 | $0.00421 |
| Sonnet 5.5 | $0.00211 | $0.00211 |
| Haiku 4.5 | $0.00105 | $0.00105 |
Grade A, and why
sumo-qa copilot-instructions.md 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 21d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QA tasks via sumo-qa MCP
Hard rule: for any QA-shaped request — testing, test plan, test strategy,
test approach, regression scope, risk-based testing, exploratory testing,
code review for safety-to-merge, scaffolding tests, TDD, mutation testing,
finding or validating test data, QA audit, test pyramid design — you MUST
call using_sumo_qa (the entry router) before answering. Do not
produce QA advice from general training-data knowledge. When citing
principles, techniques, classifications, or approaches, load them first
via the sumo_qa_load_* tools and cite the loaded catalogue verbatim;
say "not in the catalogue" rather than supplementing from memory.
First hop: every QA-shaped request, including a development-framed one such
as "I'm adding X, how should I test it?", "what tests do I need?" or "write
the failing tests first", calls using_sumo_qa before any other sumo-qa tool
and before any QA advice, then sumo_qa_deciding_approach, then the one skill
it routes to. No specialist skill is entered directly.
An underspecified QA request still takes the first hop before you ask the user
anything; sumo_qa_deciding_approach, or the skill it routes to, asks the one
clarifying question it needs.
For QA-shaped requests in this repo (test plans, code review, scaffolding
tests, finding test data, deciding QA approach), call the relevant skill tool
on the sumo-qa MCP server and follow the checklist it returns.
Available skills (each registered as an MCP tool named after the skill,
hyphens replaced by underscores). Every skill after the first two is reached
through sumo_qa_deciding_approach, never called as the first hop:
using_sumo_qa— entry router; load this first for any QA intentsumo_qa_deciding_approach— pick the QA approach for the worksumo_qa_preparing_for_work— plan QA before coding startssumo_qa_creating_test_plan— produce entry/exit criteria, phases, deliverablessumo_qa_implementing_with_tdd— red-green-refactor cyclesumo_qa_reviewing_before_merge— review local diffsumo_qa_strengthening_tests— mutation-testing follow-upsumo_qa_finding_test_data— known-good test data discovery and validationsumo_qa_answering_testing_question— generic "how do I test this?"sumo_qa_strategising— repo-wide QA strategysumo_qa_planning_qa_rollout— turn a QA chunk into a written plan of bite-sized taskssumo_qa_executing_qa_rollout— dispatch a signed-off plan task-by-task to fresh subagentssumo_qa_finishing_qa_work— capture evidence and write a PR-ready summarysumo_qa_measuring_coverage— run the repo's coverage/mutation tools, collect the results, persist them for the QA reportsumo_qa_suggesting_external_skill— fallback when no native skill fits the intentsumo_qa_closing_qa_gaps— close a named uncovered-behavior gap, one evidenced loop at a timesumo_qa_triaging_test_failures— triage a failing/flaky test: classify the cause, name the smallest isolation step before any fixsumo_qa_security_testing: select deeper security evidence for explicit security testing or a grounded security gap
The skills carry the senior-QA discipline (Iron Laws, checklists, Red Flags).
Knowledge catalogues are accessed via the sumo_qa_load_* tools — use them
for principles, techniques, classifications, approaches, and specialty tool
fits before relying on training-data knowledge.
Repo-map accelerators: when a .sumo-qa/repo-map.json artifact is present,
sumo_qa_scan_repo, sumo_qa_analyze_diff_impact, and sumo_qa_query_repo_map
provide fast, deterministic evidence over the codebase (inventory, changed-file
impact, ranked search) for the review, strategy, and prepare-for-work skills.
sumo_qa_generate_qa_report composes the persisted .sumo-qa artifacts into
the static local QA report (.sumo-qa/qa-report.html) when the user asks for
a QA report or dashboard.
When creating GitHub issues, use the closest template in .github/ISSUE_TEMPLATE/
and include every required field in the issue body. For implementation tasks
raised by an AI agent, use .github/ISSUE_TEMPLATE/ai-task.yml unless a more
specific template fits better.
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.
- 21d ago Changed · +1 lines · +23 tokens per session 6fe8bb0a9b8b
- 24d ago Changed · +10 lines · +169 tokens per session 4539bfc9d516
- 1mo ago First seen · 55 lines · 861 tokens per session scan A 88a0666cd542
sumo-qa copilot-instructions.md is an instructions file published in the GitHub repository sumithr/sumo-qa (7 stars, last pushed 2d ago), licensed Apache-2.0. It adds 1,053 tokens to every session, about $0.0042 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.
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