agent-tester SKILL.md skillA
agent-tester from aaaaqwq/agi-super-team is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add aaaaqwq/agi-super-team/agent-tester@git:20260421.9d3e41dPins git:20260421.9d3e41d in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- aaaaqwq/agi-super-team
- Path
skills/agent-tester/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260421.9d3e41d, committed Apr 21, 2026
- Size
- 3,258 bytes
- Repository stars
- 115
- License
- MIT
Test agent: dry-run, unit, integration, compatibility.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Agent Tester > Tests a built agent: dry-run, unit tests, integration, compatibility with other agents. ## When to use - After Agent Builder has finished - "test agent X" - "check agent compatibility" ## Input - Agent from `$AGENTS_PATH/[name]/` - Spec from `$AGENTS_PATH/specs/[name].spec.md` ## How to execute ### Step 1: Static analysis Check the agent code: - [ ] File exists and runs without syntax errors - [ ] All imports resolve - [ ] Config file is valid - [ ] Paths in config exist - [ ] Credentials are accessible - [ ] Dry-run mode is implemented ### Step 2: Dry-run test Run the agent with `--dry-run`: ```bash python3 $AGENTS_PATH/[name]/[name]_agent.py --dry-run ``` Check: - [ ] Agent starts without errors - [ ] Logs are clear - [ ] Shows what it WOULD do (without real side effects) - [ ] Execution time is reasonable ### Step 3: Unit tests Run tests: ```bash python3 -m pytest $AGENTS_PATH/[name]/test_[name].py -v ``` Minimum tests: - [ ] Input parsing works - [ ] Business logic is correct on test data - [ ] Error handling works (bad input, missing files, API timeout) - [ ] Output format is correct ### Step 4: Integration test (one run on real data) …
Read the whole file at its exact version.
How to install
mdr add aaaaqwq/agi-super-team/agent-tester@sha256:94ef7d0b9e06f660The line at the top of this page pins the label git:20260421.9d3e41d, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_fdqpcue3vdyiqdq3)
6 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Apr 21, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3258 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
aaaaqwq/agi-super-team · 115 stars · license MIT · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_fdqpcue3vdyiqdq3 GET https://markdownregistry.com/api/v1/resolve?ref=aaaaqwq/agi-super-team/agent-tester GET https://markdownregistry.com/api/v1/blob/94ef7d0b9e06f660cac5be7932e57824aa50c1eb684040887736c6d695bade21
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.