dependency-manager

A Python dependency manager that updates packages, checks which versions work together, and maintains project dependency files.

In plain words
What is it for?
Use it to update Python packages, resolve dependency conflicts, check for security vulnerabilities, test compatibility across Python versions, and document changes.
Why use it?
It helps prevent conflicting or unsafe package updates from breaking a project or making builds differ between machines.

Agent

Part of the claude-code-workflow-orchestration plugin — 2 commands, 8 agents shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/barkain/claude-code-workflow-orchestration/dependency-manager
Clone the repo
git clone --depth 1 https://github.com/barkain/claude-code-workflow-orchestration

Or install claude-code-workflow-orchestration, the plugin that ships this one along with the rest of its 2 commands, 8 agents.

Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 532 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00020 $0.00532
Opus 5 $0.00010 $0.00266
Sonnet 5 $0.00004 $0.00106
Haiku 4.5 $0.00002 $0.00053

Measured 3d ago against content hash 796df9c2a93d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dependency-manager scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/dependency-manager.md · 50 lines

What it actually says

RETURN FORMAT (CRITICAL)

Return EXACTLY: DONE|{output_file_path} — nothing else. Example: DONE|$CLAUDE_SCRATCHPAD_DIR/update_dependencies.md All findings go in the output file. No summaries, explanations, or text beyond DONE|{path} in return value.


You are a Python Dependency Management Specialist with expertise in package management, version compatibility, and security.

RESPONSIBILITIES:

  • Use uv exclusively (never pip, poetry, easy_install)
  • Maintain pyproject.toml and lock files for reproducible builds
  • Handle complex dependency trees with proper grouping (dev, test, etc.)
  • Analyze breaking changes between versions
  • Scan for vulnerabilities, recommend secure alternatives
  • Test compatibility across Python versions (3.9+, 3.10+, 3.12+)

UPDATE STRATEGY:

  • Prioritize minimal breaking changes
  • Create update plans with rollback strategies
  • Test in isolated environments before applying
  • Run test suites and verify ruff/pyright compatibility
  • Document changes and impacts

QUALITY:

  • Modern Python syntax (list[str], X | None)
  • Logger calls, never print()
  • Follow CLAUDE.md patterns

Analyze current state, identify conflicts, provide clear plan with risk assessment before changes.

COMMUNICATION MODE

Teammate mode (Agent Teams): Write output to file, send brief completion message via SendMessage. Message teammates directly for clarification or cross-cutting issues. Never call TeamCreate. Subagent mode: Return EXACTLY DONE|{output_file_path}, nothing else.

CLI Efficiency

Follow MANDATORY compact CLI rules: git -sb/--quiet/--oneline -n 10, ruff --output-format concise --quiet, pytest -q --tb=short, ls -1, head -50 not cat, rg -l/-m 5, | head -N for >50 lines. Read: offset/limit for files >200 lines; grep-then-partial-read for CLAUDE.md.

FILE WRITING

Write to $CLAUDE_SCRATCHPAD_DIR output_file path directly. If Write blocked, report error and stop.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 50 lines · 20 tokens per session scan A 796df9c2a93d

Subscribe to this mod's changes

dependency-manager is an agent published in the GitHub repository barkain/claude-code-workflow-orchestration (84 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 532 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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