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/thomwebb/gac/project-navnpx skills add thomwebb/gac --skill project-navgit clone --depth 1 https://github.com/thomwebb/gacWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/thomwebb/gac/project-nav)<a href="https://agentmods.dev/skills/thomwebb/gac/project-nav"><img src="https://agentmods.dev/badge/skills/thomwebb/gac/project-nav.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00033 | $0.01109 |
| Opus 5 | $0.00016 | $0.00554 |
| Sonnet 5 | $0.00007 | $0.00222 |
| Haiku 4.5 | $0.00003 | $0.00111 |
Grade A, and why
project-nav 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Navigation
When to Use
- Finding where specific code lives
- Understanding project structure
- Locating configuration files
- Looking for where to add new features
Structure (106 source files)
gac/
src/gac/
cli.py # Click CLI entrypoint
main.py # Commit workflow orchestration
ai.py / ai_utils.py # AI provider integration + retry logic
prompt.py / prompt_builder.py # Dual-prompt system
git.py # Git operations
security.py # Secret detection
config.py # Config loading (GACConfig TypedDict)
errors.py # Exception hierarchy (GACError base)
preprocess.py / postprocess.py # Diff preprocessing / message cleanup
diff_scoring.py # Diff relevance scoring
providers/ # 35 provider implementations
__init__.py # PROVIDER_REGISTRY
base.py # BaseConfiguredProvider, OpenAICompatibleProvider,
# AnthropicCompatibleProvider, GenericHTTPProvider
error_handler.py # @handle_provider_errors decorator
protocol.py # ProviderProtocol
registry.py # register_provider()
openai.py, anthropic.py, gemini.py, ...
oauth/ # OAuth authentication
base.py # Base OAuth flow (19KB)
chatgpt.py # ChatGPT OAuth
claude_code.py # Claude Code OAuth
copilot.py # GitHub Copilot OAuth
token_store.py # Token storage (~/.gac/oauth/)
stats/ # Statistics tracking
store.py # Stats file read/write
recorder.py # Usage recording
commands.py # Stats CLI commands
charts.py # Chart generation
summary.py # Summary formatting
migration.py # Legacy migration
mcp/ # MCP server
server.py # MCP server implementation (22KB)
server_utils.py # Server utilities
models.py # MCP data models
constants/ # Constants package
defaults.py # EnvDefaults, etc.
commit.py # Commit format constants
file_patterns.py # Secret detection patterns
languages.py # Language code mappings
grouped_commit_*.py # Grouped commit workflow (5 files)
*_cli.py # Subcommand CLIs (config, init, diff, model, etc.)
workflow_context.py # WorkflowContext dataclass
tests/ # 151 test files mirroring src/
docs/ # Documentation (16 languages)
scripts/ # Automation helpers
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 · 117 lines · 33 tokens per session scan A 6e456eb84797
project-nav is a skill published in the GitHub repository thomwebb/gac (318 stars, last pushed 6d ago), licensed MIT. It adds 33 tokens to every session and 1,109 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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