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 kgiwojno/g-sdd --skill g-qagit clone --depth 1 https://github.com/kgiwojno/g-sddWrote 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/kgiwojno/g-sdd/g-qa)<a href="https://agentmods.dev/skills/kgiwojno/g-sdd/g-qa"><img src="https://agentmods.dev/badge/skills/kgiwojno/g-sdd/g-qa/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/kgiwojno/g-sdd/g-qa"><img src="https://agentmods.dev/badge/skills/kgiwojno/g-sdd/g-qa.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 | $0.00073 | $0.01486 |
| Opus 5 | $0.00036 | $0.00743 |
| Sonnet 5 | $0.00015 | $0.00297 |
| Haiku 4.5 | $0.00007 | $0.00149 |
Grade A, and why
g-qa 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 10d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Behavior
/g-qa is a post-implementation stage, a peer to /g-adr.
v1 does document aggregation only — no test execution, no CI,
no scanners. The v2+ roadmap — integration tests,
accessibility, perf budgets, security scans, feature-flag
checks, rollback requirements, licence audit — is tracked for
future iterations.
Invoked by /g-implement step 7b after /g-adr completes and
before PR creation. Not typically run standalone.
The skill orchestrates: it scopes to the feature, gathers input
paths, identifies feature-cycle ADRs via git log, then spawns
the g-qa-aggregator named subagent which does the actual
aggregation methodology (severity rollups, recurring-finding
clustering, scope-drift patterns, per-slice summary,
self-vs-final status divergence). The skill echoes the
agent's stdout summary on return.
1. Scope to the current feature
Determine the feature name the same way /g-adr's
post-implementation mode does — from the caller's feature
context or, when run standalone, prompt the user to pick from
docs/features/ if there's more than one.
2. Gather inputs
Build the input_paths list to pass to the aggregator:
- Glob
docs/features/[name]/reports/*.md— slice reports. - Glob
docs/features/[name]/review-reports/*.md— review reports. If a slice has a slice report but no review report (e.g., Blocked slices with review skipped), include the slice report anyway; the aggregator notes the missing review in the per-slice summary. - Add
docs/features/[name]/PLAN.mdfor the aggregator's scope-drift cross-reference against Durable Decisions.
Identify ADRs written or updated during this feature's
implementation. Scope the git-log to commits unique to the
feature branch (between the base branch and the feature
branch tip); a plain git log [name] walks the branch's full
ancestry and surfaces historical ADRs from before the feature
branch existed — noise on long-lived repos.
base=$(git symbolic-ref --short refs/remotes/origin/HEAD 2>/dev/null \
| sed 's|^origin/||')
if [ -z "$base" ] && git show-ref --verify --quiet refs/heads/main; then
base=main
fi
git log "${base}..[name]" --name-only -- docs/adr/
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.
- 10d ago First seen · 185 lines · 73 tokens per session scan A 087d3c82f7cf
g-qa is a skill published in the GitHub repository kgiwojno/g-sdd (6 stars, last pushed 2mo ago), licensed MIT. It adds 73 tokens to every session and 1,486 once invoked, about $0.0004 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 2026-08-31.
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