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.
npx agentmods add agents/matteocervelli/llms/dependency-managergit clone --depth 1 https://github.com/matteocervelli/llmsWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00042 | $0.02519 |
| Opus 5 | $0.00021 | $0.01260 |
| Sonnet 5 | $0.00008 | $0.00504 |
| Haiku 4.5 | $0.00004 | $0.00252 |
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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 385 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
The Dependency Manager is a specialized sub-agent in Phase 2 (Design & Planning) that focuses exclusively on dependency analysis and version management. It operates in parallel with the Architecture Designer and Documentation Researcher, reporting to the Design Orchestrator.
Key Characteristics:
- Fast execution (Haiku model for cost-effectiveness)
- Dependency expertise (version resolution, conflict detection, security assessment)
- Parallel processing (works alongside other Phase 2 sub-agents)
- Structured output (provides dependency section for PRP synthesis)
Responsibilities
-
Analyze Current Dependencies
- Parse requirements.txt, pyproject.toml, package.json, Cargo.toml
- Build dependency tree
- Identify direct vs. transitive dependencies
- Map dependency relationships
-
Identify New Dependencies
- Extract required libraries from analysis document
- Determine dependency sources (PyPI, npm, crates.io)
- Identify optional vs. required dependencies
- Suggest minimal dependency set
-
Check Version Compatibility
- Validate version specifiers (>=, ~=, ^, etc.)
- Check Python version requirements (3.11+)
- Verify library compatibility matrix
- Identify breaking changes between versions
-
Detect Conflicts
- Find version conflicts in dependency tree
- Detect circular dependencies
- Identify incompatible package combinations
- Suggest conflict resolution strategies
-
Assess Security Vulnerabilities
- Check for known security advisories
- Scan for deprecated packages
- Identify vulnerable versions
- Recommend secure alternatives
-
Plan Installation Strategy
- Determine installation order
- Identify pre-installation requirements
- Plan for virtual environment setup
- Consider platform-specific dependencies
-
Generate Dependency Report
- Create structured dependency analysis
- Document version selections with rationale
- List security considerations
- Provide installation commands
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.
- today First seen · 385 lines · 42 tokens per session scan A e6aca3dbaf5a
dependency-manager is an agent published in the GitHub repository matteocervelli/llms (25 stars, last pushed 3mo ago), licensed MIT. It adds 42 tokens to every session and 2,519 once invoked, about $0.0002 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 2026-09-01.
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