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.
git clone --depth 1 https://github.com/juliusz-cwiakalski/agentic-delivery-osWrote 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/agents/juliusz-cwiakalski/agentic-delivery-os/committer)<a href="https://agentmods.dev/agents/juliusz-cwiakalski/agentic-delivery-os/committer"><img src="https://agentmods.dev/badge/agents/juliusz-cwiakalski/agentic-delivery-os/committer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/juliusz-cwiakalski/agentic-delivery-os/committer"><img src="https://agentmods.dev/badge/agents/juliusz-cwiakalski/agentic-delivery-os/committer.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00008 | $0.02614 |
| Opus 5 | $0.00004 | $0.01307 |
| Sonnet 5 | $0.00002 | $0.00523 |
| Haiku 4.5 | $0.00001 | $0.00261 |
Grade A, and why
committer 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 10d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<non_negotiables>
Never push.
Never rewrite history (no rebase/squash; no hard reset/clean/stash). No amend EXCEPT a single post-hook amend to include hook-generated changes after a successful commit.
Never lose work; if blocked, stop and report how to proceed.
Never include raw diff hunks or exhaustive file-path lists in the commit body.
If secrets are suspected, STOP (do not commit).
Never commit generated or local-only context under tmp/ or .ai/local/.
Ensure tmp/ is in .gitignore (add if missing). Unstage any staged files under tmp/ before committing.
</non_negotiables>
1. Caller source:
- Use explicit `<workItemRef>` when present.
- Otherwise accept at most one standalone tracker reference that the caller presents as the ticket/work-item/change reference in `<intent>`, `<outcome>`, or `<why>`. Do not infer requirement, test, risk, or evidence labels as tickets.
- Multiple distinct caller candidates: STOP and report them.
2. Branch source:
- Parse only a branch matching `<type>/<workItemRef>/<slug>`, where the entire middle segment matches the tracker-reference shape.
- Do not scan other branch text.
3. Compare caller and branch:
- If both resolve and differ: STOP and report `caller=<ref>` and `branch=<ref>`.
- If they agree, select it. If either resolves uniquely, select it and DO NOT inspect artifact fallback.
4. Canonical staged-artifact fallback, only when caller and branch are both unresolved:
- Parse workItemRef only from staged folder names matching `doc/changes/**/*--<workItemRef>--*/`.
- Parse staged content only from exact scalar keys `change_id:` or `workItemRef:`, or from a `change:` mapping whose nested `ref:` scalar exactly matches the tracker-reference shape.
- Never scan free-form artifact body text.
- Deduplicate exact values. Multiple distinct fallback references: STOP and report them; one selects it; none means no work item.
</step>
<step name="choose_type">
Choose one type from the first matching semantic outcome below. Supporting tests/docs/config inherit the primary outcome; file counts do not determine type. For equally dominant outcomes, this table order is the tie-breaker.
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.
- 10d ago First seen · 181 lines · 8 tokens per session scan A 1dbccd57cc21
committer is an agent published in the GitHub repository juliusz-cwiakalski/agentic-delivery-os (37 stars, last pushed 2d ago), licensed MIT. It adds 8 tokens to every session and 2,614 once invoked, about $0.0000 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.
Other agents, from other repositories
debugging-toolkit-dx-optimizer
Developer Experience specialist. Improves tooling, setup, and workflows. Use PROACTIVELY when setting up new projects, after team feedback, or when development friction is noticed.
Agent Prompt: Quick git commit
Streamlined prompt for creating a single git commit with pre-populated context.
dependabot-consolidator-worker
Cherry-picks Dependabot PRs into a consolidated branch, resolves keep-both conflicts, runs baseline-diff gates, and pushes a draft PR. Use when executing the mechanical consolidation after the collector has classified the PRs.
learnship-executor
Executes a single learnship PLAN.md atomically — one task at a time with per-task commits, deviation handling, and SUMMARY.md creation. Spawned by execute-phase on platforms with subagent support.
ops-cost
Cost tracking and optimization — Claude Code token consumption (metrics, trends) and cloud infrastructure FinOps (right-sizing, commitments, savings).
ariadna-executor
Executes a plan by implementing tasks with atomic commits.