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REPOGEO REPORT · LITE

stanford-iris-lab/meta-harness-tbench2-artifact

Default branch main · commit 57fefdb2 · scanned 6/29/2026, 6:47:53 AM

GitHub: 1,117 stars · 163 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface stanford-iris-lab/meta-harness-tbench2-artifact, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm-agents, benchmarking, terminal, command-line, ai-agents, llm-evaluation, meta-learning, artifact, environment-bootstrapping
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with an appropriate open-source license (e.g., MIT, Apache-2.0) to clarify usage rights for the artifact.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    Add the URL of the associated OSDI '24 paper or project page as the repository homepage (e.g., https://www.osdi.org/papers/...).

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface stanford-iris-lab/meta-harness-tbench2-artifact
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AgentBench
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AgentBench · recommended 1×
  2. SWE-bench · recommended 1×
  3. AutoGPT · recommended 1×
  4. BabyAGI · recommended 1×
  5. SuperAGI · recommended 1×
  • CATEGORY QUERY
    How to benchmark large language model agents performing command line tasks efficiently?
    you: not recommended
    AI recommended (in order):
    1. AgentBench
    2. SWE-bench
    3. AutoGPT
    4. BabyAGI
    5. SuperAGI
    6. OpenAI Evals
    7. subprocess
    8. pexpect
    9. Docker
    10. Podman
    11. Prometheus
    12. Grafana

    AI recommended 12 alternatives but never named stanford-iris-lab/meta-harness-tbench2-artifact. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking ways to provide initial environment context to LLM agents for faster task completion.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex (run-llama/llama_index)
    2. LangChain (langchain-ai/langchain)
    3. Pinecone
    4. Weaviate (weaviate/weaviate)
    5. Qdrant (qdrant/qdrant)
    6. OpenAI API
    7. Anthropic Claude
    8. Pydantic (pydantic/pydantic)

    AI recommended 8 alternatives but never named stanford-iris-lab/meta-harness-tbench2-artifact. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of stanford-iris-lab/meta-harness-tbench2-artifact?
    pass
    AI did not name stanford-iris-lab/meta-harness-tbench2-artifact — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts stanford-iris-lab/meta-harness-tbench2-artifact in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name stanford-iris-lab/meta-harness-tbench2-artifact — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo stanford-iris-lab/meta-harness-tbench2-artifact solve, and who is the primary audience?
    pass
    AI named stanford-iris-lab/meta-harness-tbench2-artifact explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite