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 commands/punt-labs/punt-kit/reconcilegit clone --depth 1 https://github.com/punt-labs/punt-kitWrote 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/commands/punt-labs/punt-kit/reconcile)<a href="https://agentmods.dev/commands/punt-labs/punt-kit/reconcile"><img src="https://agentmods.dev/badge/commands/punt-labs/punt-kit/reconcile.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 5.1 | $0.00010 | $0.01482 |
| Opus 5 | $0.00005 | $0.00741 |
| Sonnet 5 | $0.00002 | $0.00296 |
| Haiku 4.5 | $0.00001 | $0.00148 |
Grade A, and why
reconcile 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 5d 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reconcile Project with Punt Labs Standards
Analyze a project against Punt Labs standards and surgically apply fixes. This command handles files that need contextual judgment — workflow customizations, CLAUDE.md quality, pyproject.toml drift — where a deterministic tool would be too blunt.
Input
Project path: $ARGUMENTS (defaults to . if empty)
Process
0. Detect Project
Read the project's pyproject.toml or package.json to determine:
- Language (python, node, swift, or none)
- Project type (application, library, plugin, docs)
- Whether it has an MCP server (
server.pyor MCP-related deps) - Whether it has a CLI entry point (
[project.scripts])
Also read the project's CLAUDE.md if it exists — it may document intentional overrides.
1. Run Deterministic Audit
Run the mechanical checks first:
punt audit <project-path>
Report the output to the user. The deterministic layer catches missing files, config
gaps, and formatting issues. This command focuses on what punt audit cannot: contextual
reconciliation.
2. Load Standards
Read the following files from the punt-kit standards directory. If punt-kit is a sibling
directory (i.e., ../punt-kit/ relative to the project), read from the local filesystem.
Otherwise, read from the punt-kit repo on GitHub.
standards/python.md— toolchain, quality gates, project layoutstandards/github.md— CI workflows, markdownlint config, action SHA pinsstandards/cli.md— required subcommands, init rulesstandards/distribution.md— install paths, PyPI publishingstandards/plugins.md— plugin structure (if applicable)
3. Reconcile Workflow Files
For each workflow file in .github/workflows/:
- Read the project's current workflow
- Read the corresponding punt-kit template from
src/punt_kit/templates/workflows/ - Identify:
- Intentional customizations to PRESERVE: extra dependencies, cache config, system packages (e.g., ffmpeg), coverage integration, project-specific env vars, custom test commands, extra linting steps
- Missing standard elements to ADD: new jobs, updated action versions, missing timeout settings, missing permissions declarations
- Stale elements to UPDATE: outdated action SHA pins, deprecated syntax
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.
- 5d ago First seen · 158 lines · 10 tokens per session scan A 3bffcfb635fa
reconcile is a command published in the GitHub repository punt-labs/punt-kit (1 stars, last pushed 2d ago), licensed MIT. It adds 10 tokens to every session and 1,482 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 2026-08-31.
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