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 skills/jpoutrin/product-forge/dependency-alignmentnpx skills add jpoutrin/product-forge --skill dependency-alignmentgit clone --depth 1 https://github.com/jpoutrin/product-forgeWhat 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 | $0.00034 | $0.01790 |
| Opus 5 | $0.00017 | $0.00895 |
| Sonnet 5 | $0.00007 | $0.00358 |
| Haiku 4.5 | $0.00003 | $0.00179 |
Grade A, and why
dependency-alignment 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.
How it starts
The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dependency Version Alignment Skill
This skill resolves dependency versions during parallel decomposition to ensure compatibility with existing project dependencies and avoid transitive conflicts.
When This Skill Activates
- During
parallel-decomposePhase 1 (after dependency extraction, before manifest generation) - When the cto-architect agent identifies dependencies from Tech Spec imports
- When validating manifest.json dependencies before execution
Supported Ecosystems
| Ecosystem | Dependency Files | Package Manager | Resolution Tool |
|---|---|---|---|
| Python | pyproject.toml, requirements.txt, uv.lock |
uv, pip | uv pip compile |
| Node.js | package.json, package-lock.json, yarn.lock |
npm, yarn, pnpm | npm view, npm ls |
Detection Strategy
Python Projects
- Check for
pyproject.toml(preferred - modern Python) - Fall back to
requirements.txt(legacy) - Check for lock files:
uv.lock,poetry.lock,requirements.lock
# Detection order
if [[ -f "pyproject.toml" ]]; then
# Use pyproject.toml as source of truth
elif [[ -f "requirements.txt" ]]; then
# Fall back to requirements.txt
fi
Node.js Projects
- Check for
package.json(required) - Check for lock files:
package-lock.json,yarn.lock,pnpm-lock.yaml
# Detection
if [[ -f "package.json" ]]; then
# Node.js project detected
fi
Resolution Commands
Python with uv
# Step 1: Get currently installed/locked versions
uv pip freeze --format json
# Step 2: Resolve a new dependency against existing project
# Creates a temporary requirements and resolves compatible version
uv pip compile pyproject.toml \
--extra-requirement "pydantic>=2.0" \
--dry-run \
--quiet 2>&1
# Step 3: Get the resolved version for a specific package
uv pip compile - <<< "pydantic>=2.0" --dry-run 2>&1 | grep "pydantic=="
# Alternative: Check latest compatible version
uv pip compile - <<< "pydantic>=2.0,<3.0" --dry-run 2>&1
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.
- 3d ago First seen · 251 lines · 34 tokens per session scan A 1941a72cb63a
dependency-alignment is a skill published in the GitHub repository jpoutrin/product-forge (15 stars, last pushed 6mo ago), licensed MIT. It adds 34 tokens to every session and 1,790 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 2026-08-30.
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