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affaan-m/ECC

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Healthy

Healthy across all four use cases

HealthyDependency

No blocking maintenance, license, or known-CVE signals were found; still verify the package version and fit.

HealthyFork & modify

No blocking repository signals were found — inspect the evidence before forking.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

HealthyDeploy as-is

No blocking repository-level signals were found; deployment review is still required.

  • ⚠Concentrated ownership — top contributor handles 61% of recent commits
  • ⚠Scorecard: default branch unprotected (0/10)
  • ✓Last commit today
  • ✓15 active contributors
  • ✓MIT licensed
  • ✓CI configured
  • ✓Tests present

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

Informational only. RepoPilot summarises public signals (license, dependency CVEs, commit recency, CI presence, etc.) at the time of analysis. Signals can be incomplete or stale. Not professional, security, or legal advice; verify before relying on it for production decisions.

Repository brief

Repo brief: affaan-m/ECC

Generated by RepoPilot · document generated 2026-09-18 · concise human review Evidence snapshot · analyzed 2026-09-18T03:20:53.172Z · commit cc91c24f9a35

Verdict

Healthy — Healthy across all four use cases

  • Last commit today
  • 15 active contributors
  • MIT licensed
  • CI configured
  • 1 more receipt on the live page

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

What it is

ECC is an agent harness and performance optimization system designed to enhance large language model (LLM) coding assistants like Claude, Codex, Cursor, and OpenAI models. It provides a unified Python/Rust/JavaScript platform with pluggable LLM providers (Claude, OpenAI, Ollama, Atlas, AstraFlow), prompt templating, and a TUI-based control plane for managing agentic workflows. The core capability is orchestrating multi-agent coding tasks with skill composition, memory management, and security-first architecture. Multi-language monorepo with Python as primary backend logic (src/llm/ tree): src/llm/providers/ abstracts four LLM backends (claude.py, openai.py, ollama.py, etc.), src/llm/core/…

Start here

Read these in order:

  • src/llm/core/types.py — Foundation: doesn't import anything internally and is imported by 9 other files. Read first to learn the vocabulary.
  • src/llm/providers/constants.py — Foundation: imported by 3, no internal dependencies of its own.
  • src/llm/core/interface.py — Built on the foundation; imported by 7 downstream files.
  • ecc2/src/session/mod.rs — Built on the foundation; imported by 1 downstream file.
  • src/llm/providers/astraflow.py — Layer 2 — application-level code that wires the lower layers together.

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

Clone and install depend on which component you target: For Python (src/llm): git clone https://github.com/affaan-m/ECC && cd ECC && python -m src.llm (assuming setup.py or pyproject.toml not detailed in file list; ve…

Daily commands:

No Makefile or direct run instructions visible in provided data. Inferred: Python entry via python -m src.llm or python -m src.llm.cli.selector, Rust TUI via cargo run --release. Exact commands depend on missing p…

…shortened for this brief.

Key cautions & unknowns

  • Concentrated ownership — top contributor handles 61% of recent commits
  • Scorecard: default branch unprotected (0/10)
  • Vendored OpenSSL feature (Cargo.toml: vendored-openssl optional) suggests git2 SSH operations may require special handling on some systems—verify if cloning SSH-based repos is needed. No visible pyproject.toml or…
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.

For the complete agent context, use the CLAUDE.md or Cursor rules export.

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