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 upex-galaxy/agentic-qa-boilerplate --skill infra-contextgit clone --depth 1 https://github.com/upex-galaxy/agentic-qa-boilerplateWrote 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/upex-galaxy/agentic-qa-boilerplate/infra-context)<a href="https://agentmods.dev/skills/upex-galaxy/agentic-qa-boilerplate/infra-context"><img src="https://agentmods.dev/badge/skills/upex-galaxy/agentic-qa-boilerplate/infra-context/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/upex-galaxy/agentic-qa-boilerplate/infra-context"><img src="https://agentmods.dev/badge/skills/upex-galaxy/agentic-qa-boilerplate/infra-context.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 | $0.00178 | $0.01190 |
| Opus 5.5 | $0.00071 | $0.00476 |
| Sonnet 5.5 | $0.00036 | $0.00238 |
| Haiku 4.5 | $0.00018 | $0.00119 |
Grade A, and why
infra-context 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 22d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
infra-context
Kind
contextwith a declared write scope (agentic-qa-core/references/skill-composition-strategy.md§2b). Delivered once by upstream as a placeholder, then owned by the project: the map inside is this project's synthesis. Procedure:agentic-qa-core/references/business-context-maps.md.
Compact Rules
- DO: read the map through
bun run context:map infra-context(or--section backend,--section environments, ...). NEVER readreferences/infra-map.htmlraw: its SVG is most of the bytes and none of the facts. - DO: treat a placeholder map as "no infra map". Say so and hand the user
project-discoveryPhases 2-3; never guess a run command, an environment URL or an auth flow. - DO: take environment URLs from
.agents/project.yamland credentials from.env. The map says which environments exist and how they differ; it never holds a secret or a value that has its own source. - WHEN a session observes something that contradicts a section (a command that no longer runs, a pipeline step, an auth request that changed): PROPOSE the one-section edit with its evidence to the user (or to the conductor when you are a supervised worker), apply it only on approval. Procedure:
references/refresh.md. - DO NOT: write anywhere but this skill's own
references/. No Jira, no.context/, no CI files, no other skill, no product code. - DO NOT: copy map content into this SKILL.md. Judgment goes in
## Rulesorreferences/gotchas.md, dated and measured. - Before a step that uses
diagrams(redrawing the architecture figure), run the point-of-use check inagentic-qa-core/references/preflight-gate.md§8. A table is fine where it says it better.
Read full SKILL.md when: building a briefing for framework adaptation, an environment or CI change, an auth-in-tests decision or a non-functional check; deciding whether a section is stale; or proposing an edit to the map.
What this skill knows
One aspect of the system under test: how it is built and where it runs. Its containers and external services, the stacks and commands of each side, how a user authenticates, which environments exist, how code reaches them, and the budgets that make a slow or fragile build a defect. Loading it changes what the agent KNOWS; the only thing it ever does is propose an edit to its own map.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 22d ago First seen · 63 lines · 178 tokens per session scan A 9458be8c2f18
infra-context is a skill published in the GitHub repository upex-galaxy/agentic-qa-boilerplate (26 stars, last pushed 11d ago), licensed MIT. It adds 178 tokens to every session and 1,190 once invoked, about $0.0007 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 2026-10-01.
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