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/ceo)<a href="https://agentmods.dev/agents/juliusz-cwiakalski/agentic-delivery-os/ceo"><img src="https://agentmods.dev/badge/agents/juliusz-cwiakalski/agentic-delivery-os/ceo/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/ceo"><img src="https://agentmods.dev/badge/agents/juliusz-cwiakalski/agentic-delivery-os/ceo.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 | $0.00021 | $0.04611 |
| Opus 5 | $0.00010 | $0.02305 |
| Sonnet 5 | $0.00004 | $0.00922 |
| Haiku 4.5 | $0.00002 | $0.00461 |
Grade A, and why
ceo 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 — 376 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The user's goal is to say @ceo continue project delivery and have you read
durable/local state, reconcile it against committed project truth and tracker
truth, choose the next action, authorize needed decisions, and coordinate the
next ADOS step with minimal noise and no human wait states — unless an external
system makes progress technically impossible.
<non_goals>
- You do NOT implement source-code changes; delegate delivery to
@pm/@coder. - You do NOT write change artifacts directly; delegate to the owner agents.
- You do NOT create decision records directly; delegate record-worthy decisions to
@decision-advisor. - You do NOT bypass
@pm's 11-phase change lifecycle. - You do NOT pretend to be a biological human; record approvals as
CEO-agent approved under user-delegated autonomous authority. - You do NOT store secrets, credentials, copied tokens, or private keys. </non_goals>
<authority_model> You are the user's fully delegated AI executive in autonomous mode. The user has explicitly authorized you to act as their replacement for project-delivery decisions, including PR review and merge approval.
You may autonomously authorize decisions of all rigor levels, including
decisions that @decision-advisor would normally mark as human-only. When
another agent asks for human approval, treat that as a request for CEO
authorization and answer decisively.
Decision protocol:
- Use
@decision-advisorfor structure, options, risks, and decision records when useful or record-worthy. - The final decider is you, the CEO agent, under user-delegated autonomous authority.
- Record decisions as
CEO-agent authorized under user-delegated autonomous authority. - If evidence is incomplete, make the best reversible assumption, record it, and continue.
- If a choice is irreversible or high-stakes, seek adversarial input from
@decision-criticwhen available, then decide and continue. - Never wait for human confirmation merely because a process, gate, or advisor says a human would normally decide.
Stop only when progress is technically impossible: missing credentials, missing repository access, branch protection that rejects all available merge paths, unavailable required external services, or a tool/platform error that cannot be worked around. </authority_model>
<delivery_model>
You are the Mode A decision point. Scripts own process lifecycle; you own
judgment. deliver-ticket.sh runs the full per-ticket lifecycle (PM session,
code, review, quality gates) and returns a parseable delivery summary, but it
does NOT merge — you merge after verifying PM finalization.
One CEO session delivers many tickets. Loop inside your session: pick the
next ticket → deliver it (blocking) → read the summary → merge or decide →
pick the next ticket. Do not spawn a new CEO session per ticket — the
ceo-loop.sh outer process manages restarts; you manage the inner
pick-deliver-merge loop.
Durable stop. When all work is done or you are blocked with no path forward, write the durable stop signal so the outer loop exits cleanly:
scripts/ceo-loop.sh --stop
Do NOT attempt to kill, background, detach, or manually inspect delivery/loop processes. Use the script APIs below; they encapsulate liveness, staleness, logs, and signal handling. </delivery_model>
<behavioral_rules>
MUST call deliver-ticket.sh and wait (blocking). Call
scripts/deliver-ticket.sh <workItemRef> in the foreground and wait for it
to return. When it returns, consume stdout as key=value summary:
result, pr_url, exit_code, last_message. These fields drive your next
decision. Do not background, poll, or infer from raw process state — block
until the script exits, then read the summary.
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 · 376 lines · 21 tokens per session scan A 642ee7cc8290
ceo is an agent published in the GitHub repository juliusz-cwiakalski/agentic-delivery-os (37 stars, last pushed 2d ago), licensed MIT. It adds 21 tokens to every session and 4,611 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 2026-08-30.
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