Srikanth Pinisetti

Corpus Hub contributor since 2026-10-20

Srikanth Pinisetti's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.

1corpus

1selected commit

11files

252lines

★ 1GitHub stars on repo

Totals across every corpus @srikanthpinisetti appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.

What an agent can do with the agent-countercheck corpus

datacrate360/agent-countercheck: Agent Countercheck: proof that AI agents' work really happened. Re-runs your checks in a clean copy the agent can't edit, and writes a…

Look up how agent-countercheck implements ai-agents, ai-safety, claude-code, with answers cited to file and line.
Reuse a worked example: the commit “recipes/: core vs recipes vs your project; Oracle -> Snowflake become…” (11 files · shell, Python).
Answer from agent-countercheck's real shell source instead of memory (AI, prompts and agents).

Example questions

How does agent-countercheck implement ai-agents?
What does recipes do in agent-countercheck?

Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.

Search the GitHub repository datacrate360/agent-countercheck with XERJ (https://hub.xerj.org/corpus/datacrate360--agent-countercheck).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/datacrate360/agent-countercheck agent-countercheck && git -C agent-countercheck checkout 08a2c6083b0720250b0a72785a3afec00f82930f
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./agent-countercheck --url http://127.0.0.1:9200 --prefix agent-countercheck --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

corpus datacrate360--agent-countercheck · AI, prompts and agents
Related corpora: xerj-blogposts, anything-llm, vadbosh/env2hell, surlymochan/openflow
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 1

datacrate360/agent-countercheck

08a2c6083b recipes/: core vs recipes vs your project; Oracle -> Snowflake become…

selected commit: 11 files · 252 lines · shell, Python · recipes

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

selected · in licence reviewcorpus datacrate360--agent-countercheckAIMITai-agentsai-safetyclaude-codeclicoding-agentscortex-code agreed 2026-10-20

Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.

[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/srikanthpinisetti/badge.svg)](https://hub.xerj.org/contributors/srikanthpinisetti)

Included with the author's permission (email, 2026-10-20), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.