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 dangnhit/qa-tester --skill requirement-analyzergit clone --depth 1 https://github.com/dangnhit/qa-testerWrote 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/dangnhit/qa-tester/requirement-analyzer)<a href="https://agentmods.dev/skills/dangnhit/qa-tester/requirement-analyzer"><img src="https://agentmods.dev/badge/skills/dangnhit/qa-tester/requirement-analyzer.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 | $0.00034 | $0.00458 |
| Opus 5 | $0.00017 | $0.00229 |
| Sonnet 5 | $0.00007 | $0.00092 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
requirement-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Requirement analyzer
Execution kind: agent-authored. Read safety and artifact contracts. Produce an explicit, provenance-marked requirement-analysis draft; do not invent authority for unresolved requirements.
Resolve ./node_modules/.bin/qa-skill before qa-skill on PATH; if absent, stop with setup guidance. Never use remote npx. Ingest the finished draft through the local runtime.
Example — standalone analysis:
QA_SKILL="${PWD}/node_modules/.bin/qa-skill"; [ -x "$QA_SKILL" ] || QA_SKILL="$(command -v qa-skill)" || exit 1
RUN_ID="$("$QA_SKILL" run create --root . --mode plan --environment-file environment.json | node -p 'JSON.parse(require("fs").readFileSync(0, "utf8")).runId')"
"$QA_SKILL" artifact ingest --root . --run-id "$RUN_ID" --type requirement-analysis --file drafts/requirement-analysis.json
PowerShell:
$QaSkill = Join-Path $PWD "node_modules/.bin/qa-skill.cmd"
if (-not (Test-Path $QaSkill)) { $QaSkill = (Get-Command qa-skill -ErrorAction Stop).Source }
$Run = (& $QaSkill run create --root . --mode plan --environment-file environment.json | ConvertFrom-Json)
& $QaSkill artifact ingest --root . --run-id $Run.runId --type requirement-analysis --file drafts/requirement-analysis.json
run create returns the new runId and closes its process lock without finalizing the workspace, so later standalone specialist skills can keep registering canonical artifacts in that run.
Example — full run: hand the registered analysis to testcase-designer, scaffold full-workflow.json from the returned source run ID, then run it.
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 · 32 lines · 34 tokens per session scan A 1bd1049290de
requirement-analyzer is a skill published in the GitHub repository dangnhit/qa-tester (2 stars, last pushed 29d ago), licensed Apache-2.0. It adds 34 tokens to every session and 458 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 2026-08-31.
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