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AgentsMesh E2E — measured AI agent skill | DecimalAI

agentsmesh/e2e

SkillScore70Maintained

Selects and runs the appropriate AgentsMesh end-to-end suite for Web, Desktop, MCP, or iOS, including worktree-specific environment setup and browser-level verification. Use when a change needs E2E coverage, a user asks to execute or diagnose an E2E test, or a cross-service workflow must be verified against the real development stack.

Testingby agentsmesh

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

QA & Test Engineering pack

decimalai skills pull agentsmesh-e2e

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/agentsmesh-e2e/SKILL.md

Raw file: /s/agentsmesh-e2e/SKILL.md ↗ · machine-readable summary at /s/agentsmesh-e2e.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

23 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 4h ago

—-45% tokens0% turns70% of whole cases pass with skill (16/23)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-06	✗→✓	▲ Improved	-37%	0%
case-07	✗→✓	▲ Improved	-45%	0%
case-08	✗→✓	▲ Improved	-45%	0%
case-09	✗→✓	▲ Improved	-67%	0%
case-20	✗→✓	▲ Improved	-70%	0%

Showing 5 of 23 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

agentsmesh / agentsmesh

agents/skills/e2e/SKILL.md

View on GitHub ↗

License NOASSERTIONImported 8/3/2026Version v1Bundled 2 files

Skill contents

references/

SKILL.md

AgentsMesh E2E

Run the smallest real end-to-end test that proves the requested behavior, then expand coverage in proportion to the change.

Invariants

Use the current worktree's generated deploy/dev/.env; never assume fixed

ports or container names.

A UI requirement must be verified by a browser or app UI test. Do not replace

it with a raw API request.

Start the development stack only when the selected suite needs it. Record

whether this workflow started the stack before deciding whether to clean it.

Authentication uses Connect-RPC. Never restore the removed REST login route;

read references/connect-rpc.md when testing auth or proxy routing.

Do not claim a suite passed unless its command completed successfully.
Preserve test artifacts and relevant service logs when a failure occurs.

Workflow

Inspect the requested behavior and changed files.
Select the suite from references/test-matrix.md. Read the selected target's

BUILD file, config, and nearby tests before running it.

Reuse a healthy existing stack. Otherwise start //deploy/dev:up for Web

flows or //deploy/dev:backend_only when frontends are not required.

Load deploy/dev/.env with automatic export enabled so Bazel can forward the

worktree-specific values:

bash set -a source deploy/dev/.env set +a

Run the narrowest relevant spec or test filter first. If it passes, run the

owning target when the blast radius warrants it.

For UI behavior, inspect the rendered state and interaction result through

the suite's browser/app assertions. Capture a screenshot or trace when the visual result is central to the bug.

On failure, report the failing assertion and inspect the applicable service

logs and test artifacts listed in the test matrix.

Clean the stack with bazel run //deploy/dev:clean only when this workflow

started it and no concurrent work depends on it.

Result

Report the exact target and filter, actual worktree ports used, pass/fail status, failing evidence when applicable, and any coverage that could not be run with the reason.

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Other measured skills in the registry, with their headline benchmark lift.