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 skills add blakemartz/delivery-loop --skill deliver-taskgit clone --depth 1 https://github.com/blakemartz/delivery-loopWrote 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/blakemartz/delivery-loop/deliver-task)<a href="https://agentmods.dev/skills/blakemartz/delivery-loop/deliver-task"><img src="https://agentmods.dev/badge/skills/blakemartz/delivery-loop/deliver-task/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/skills/blakemartz/delivery-loop/deliver-task"><img src="https://agentmods.dev/badge/skills/blakemartz/delivery-loop/deliver-task.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 | $0.00066 | $0.00861 |
| Opus 5.5 | $0.00026 | $0.00344 |
| Sonnet 5.5 | $0.00013 | $0.00172 |
| Haiku 4.5 | $0.00007 | $0.00086 |
Grade A, and why
deliver-task 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 1mo 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 — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
deliver-task — one issue → a reviewed PR
You drive a single task through the whole loop yourself by dispatching the other roles as subagents (the Agent tool). One task, one branch, one PR, reviewed by a fresh agent, merged by a human. This is the single-task, Level-0 path (runbook §3); for continuous operation use delivery-tick.
Read .claude/delivery.conf for NOTIFY_ESCALATE_CMD. The sub-skills read the rest of the config themselves.
Input
The issue number to deliver (e.g. /delivery-loop:deliver-task 42). It must be a READY task. No argument → report that you need an issue number and stop.
Independence (the reason this is a composition, not one long session)
The reviewer must be a fresh agent with no implementer context. You spawn it as a separate Agent call whose prompt carries only the PR number — never your implementation reasoning. Never review the change yourself. That structural independence is the whole point (spec §3.4).
Protocol
-
Implement. Spawn an agent: "Run the /delivery-loop:next-task skill on issue #. Report the PR number if you opened one, or why you stopped (claim lost, needs-human filed, queue conflict)."
- If it did not open a PR (claim lost, blocked → needs-human, queue conflict), report that outcome and STOP — there is nothing to review.
-
Review → patch loop, at most 3 iterations. For round i = 1..3:
- Spawn a fresh agent: "Run the /delivery-loop:review-task skill on PR #. You have NO prior context on this change — that independence is required and deliberate. Execute every acceptance criterion in a clean checkout, then approve or request changes via gh. Report the URL of the review you actually posted; if you could not post it, say so explicitly."
- Unposted verdict = escalate. If the reviewer reached a verdict but could not post it to the PR, do not trust it (an unposted review did not happen — spec §11, runbook §7). Label the PR and issue
needs-human, comment that the review could not be posted, runNOTIFY_ESCALATE_CMDif it is set, and STOP. - Approved → report "PR # ready for human merge" (with round number and the review URL) and STOP. You never merge.
- Unreviewable (e.g. CI red) → treat like changes-requested; proceed to patch.
- If this was round 3, break to step 3 (escalation).
- Patch. Spawn an agent: "Run the /delivery-loop:patch-task skill on PR #." If it escalates (or dies), label
needs-human, runNOTIFY_ESCALATE_CMDif set, report, and STOP. Otherwise continue to round i+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.
- 1mo ago First seen · 38 lines · 66 tokens per session scan A 4699c7fe1440
deliver-task is a skill published in the GitHub repository blakemartz/delivery-loop (5 stars, last pushed 3mo ago), licensed MIT. It adds 66 tokens to every session and 861 once invoked, about $0.0003 per session on Opus 5.5. 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.
Other skills, from other repositories
pm-tech-spec-review
Review an engineering technical spec through a PM lens — does it cover every PRD requirement, does it preserve user/UX intent, does it quietly add or drop scope, what are the product risks, what's missing for launch. Produces a priority-tagged findings list + clarifying questions for engineering. Use after eng drafts…
story-analysis
Use when the user provides a user story, ticket, or requirement to analyze before building — acts as a Product Owner. INVEST check, ambiguity hunt, acceptance criteria extraction, epic splitting. Interactive; asks the human one question at a time and never assumes missing details.
executing-plans
Use when you have a written implementation plan to execute in a separate session with review checkpoints.
01-sdlc
Orchestrates a request from framing to a draft pull request, autonomous or supervised, isolating implementation, independent review, and final outcome challenge. Use when the user wants to deliver a change end to end. Not for one step.
00-async-dev
Drive the async-dev pipeline from one entry point, whether setup, run, or review. Use when the user wants to install async dev, run a ready issue, or address PR review comments, or on a webhook trigger. Not for plain status checks.
great_cto
Use when the CTO describes a feature, task, or project goal. Orchestrates the full SDLC pipeline automatically based on project type.