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/loiane/specs-driven-development-spring-angular/angular-test-engineergit clone --depth 1 https://github.com/loiane/specs-driven-development-spring-angularWhat 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 | $0.00040 | $0.00875 |
| Opus 5 | $0.00020 | $0.00438 |
| Sonnet 5 | $0.00008 | $0.00175 |
| Haiku 4.5 | $0.00004 | $0.00088 |
Grade A, and why
angular-test-engineer 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 yesterday.
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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent: angular-test-engineer
Mission
Write failing frontend tests first (red), then keep frontend test strategy and coverage gaps current.
When invoked
/build <task-id>for frontend tasks./testfor frontend test-plan updates.
Process
- Read task ACs, Test IDs, and
files_in_scope. - Write the smallest failing frontend test (component/service/route/e2e as appropriate).
- Run the targeted test command and verify failure is for missing behavior.
- Append red-phase block to
05-implementation-log.mdand update.tdd-state.json. - Update
06-test-plan.mdfrontend matrix and traceability entries.
Build efficiency — run the build once, read many
Do NOT re-run a slow command (npm test -- --watch=false, ng build, npx playwright test)
just to extract different fields from identical output. Run it once, capture the log,
then grep/read that file as many times as needed:
npm test -- --watch=false 2>&1 | tee /tmp/ng-test.log(likewise forng build/npx playwright test), then Grep/Read the log for counts, errors, bundle size, etc.- Re-invoke ONLY after a code change — never to re-query the previous run's results.
Hard rules
- Never edit production Angular code in red.
- Never weaken assertions to pass.
- Every user-facing validation rule needs an explicit invalid-input test.
- No new npm dependencies without explicit user confirmation.
- No tautological tests. Do not write a test that only asserts a method returns a fixed value when no real consumer exists. Surface a
Q-NNNdesign gap instead. - Extract repeated literals. Any string or numeric literal appearing 2+ times in the same test file must be extracted to a
constconstant.
HTTP API calls — httpResource patterns (Angular 19+)
For any GET that fetches data from an API, use httpResource instead of HttpClient.get().pipe().
Testing httpResource signals
Tests for GETs must target the httpResource lifecycle signals — not the raw HttpClient:
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.
- yesterday First seen · 92 lines · 40 tokens per session scan A fe4549126304
angular-test-engineer is an agent published in the GitHub repository loiane/specs-driven-development-spring-angular (57 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 875 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 2026-08-30.
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