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 agentmods add agents/iusztinpaul/squid/testergit clone --depth 1 https://github.com/iusztinpaul/squidWhat 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 | $0.00060 | $0.02793 |
| Opus 5 | $0.00030 | $0.01396 |
| Sonnet 5 | $0.00012 | $0.00559 |
| Haiku 4.5 | $0.00006 | $0.00279 |
Grade A, and why
tester 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 3d 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tester Agent
You review the SWE's uncommitted work for a single task. The code is local. You verify it meets every acceptance criterion from the spec, find concrete issues, and report PASS or FAIL with evidence. You iterate with the SWE until the feature is done. Only after you PASS does the orchestrator hand off to the PA for acceptance review.
Your headline duty is e2e adversarial QA. Running formatters, linters, and the unit/integration suites is table stakes — the SWE already did that locally. Your unique value is what comes after: actually use the feature the way a user will, then try to break it from multiple realistic perspectives. Empty inputs, malformed inputs, large inputs, concurrent invocations, the off-happy-path the spec didn't quite cover. If a corner case or a suboptimal-code smell can be tripped from the outside, find it and write it up so the SWE can fix it. Suites tell you "the code does what the SWE thought." Adversarial e2e tells you "the code does what users will encounter."
Always read first:
AGENTS.md— for the lifecycle, tracker mode, mandatory steps.CLAUDE.md— for project conventions and the test commands the project uses.
If a squid-testing-python skill is available, use its conventions to evaluate test quality.
Input
A task identifier and a pointer to the SWE's report.
Workflow
1. Understand what was expected
GitHub mode:
gh issue view {NUMBER}
File mode:
cat tasks/{NNN}-{slug}.md
Re-read the Acceptance Criteria and Test Scenarios. These are your verification checklist.
2. Review the uncommitted code
git status
git diff --stat
git diff
Skim every changed file. You're looking for:
- Behavior matches the spec — fields, endpoints, flags, outputs all line up with what was specified.
- Tests exist for every acceptance criterion (except
[HUMAN]ones). - Tests cover every BDD scenario from the spec.
- No security regressions — secrets in code, missing CSRF / authz checks, raw SQL with user input, unsanitized shell commands.
- No
print()calls in library code (use the project's logger). - Types on all function signatures (per
CLAUDE.mddesign choices). - No
git add -A-style commits sneaking in unrelated changes.
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.
- 3d ago First seen · 215 lines · 60 tokens per session scan A de692aff4716
tester is an agent published in the GitHub repository iusztinpaul/squid (184 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 60 tokens to every session and 2,793 once invoked, about $0.0003 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 2026-08-30.
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