Borrowing it
Nothing to install: this file belongs to adamayoung/TMDb. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/adamayoung/TMDb/main/.claude/skills/deliver/SKILL.mdgit clone --depth 1 https://github.com/adamayoung/TMDbWrote 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/adamayoung/tmdb/deliver)<a href="https://agentmods.dev/skills/adamayoung/tmdb/deliver"><img src="https://agentmods.dev/badge/skills/adamayoung/tmdb/deliver/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/adamayoung/tmdb/deliver"><img src="https://agentmods.dev/badge/skills/adamayoung/tmdb/deliver.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 423 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00000 | $0.12402 |
| Opus 5 | $0.00000 | $0.06201 |
| Sonnet 5 | $0.00000 | $0.02480 |
| Haiku 4.5 | $0.00000 | $0.01240 |
Grade A, and why
deliver 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 — 789 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deliver
Drive the current plan through the whole feature pipeline to a PR that is
green and ready to merge. This skill is an orchestrator — it sequences the
existing skills and adds the safety gates; the expertise lives in the pieces
it invokes. It runs autonomously from invocation (which is itself plan
approval) to a single hard stop — ready-to-merge — auto-scaling its
machinery to the change's risk, and writing a short retrospective that
rides the delivery's own PR. Every run happens in its own git worktree
(Phase 1; torn down on merge, Phase 12) so the user's main checkout stays
free. The plan is created first in plan mode (or with the Plan agent;
there is no /plan skill) — /deliver picks up from there. A selection run
supplies its own plan: /deliver next takes the top startable issue off the
project board's Ready column and /deliver issue <n> takes the one you name,
then drafts a plan for it (Phase 0;
references/next-mode.md).
you approve the plan ─▶ /deliver ─────▶ entry gate (ACs?) ─▶ worktree ─▶ [review-plan] ─▶
(or: /deliver next | issue <n> ─▶ select ─▶ re-verify ─▶ claim ─▶ draft ─▶ approve ─┘)
implement ─▶ code-review + fix ─▶ security-review + fix ─▶
rubric check (ACs met?) ─▶ capture ─▶ retro (pre-PR) ─▶ /pr reviewed ─▶ /watch-pr ─▶
GATE: ready-to-merge ─▶ wrap-up (wiki + recurring-pattern scan)
▲ the only hard stop
… then, when the PR actually merges (maybe a later session): teardown (Phase 12)
Detail on demand: procedures, traps, incident history and design rationale
live in references/ — read the named file when its phase
arrives, not up front.
Agent Behaviour Contract
Non-negotiable. Do these by default, without being reminded.
- Invoking
/deliveris plan approval — run autonomously to the one gate (the diagram above), with no second "is the plan ok?" prompt. The only legitimate mid-run pauses: a blocker from/review-plan(Phase 2), a red gate you cannot triage (§4), or — on an attended selection run, under either policy — the one approval stop on a plan/deliverdrafted for itself (Phase 0): invoking the skill approves the plan you brought, and a selection run brought none. Naming the issue yourself settles what to build, not how, so/deliver issue <n>gets that stop exactly as/deliver nextdoes. Inautoit is not a pause at all — thephase0n-selectionpanel rules instead. - Delegate to the existing skills — don't reinvent them:
/review-plan,/implement-plan,/review-changes,/security-review,/capture-knowledge,/pr,/watch-pr,/fix-integration-failures. - Never work on
main— always in a fresh worktree, entered before/review-planor any file edit (CLAUDE.mdforbids editingmain). - A red gate triages before it stops. In-diff failure → fix test-first
and re-run. Pre-existing/unrelated (typically a flaky live integration
test) → route to
/fix-integration-failuresand re-run — never hard-stop on someone else's flake. Only a genuine, in-diff, unfixable break stops the pipeline. - Test-first all the way. Every review-loop fix follows
canon-tdd— failing test first. No untested patches. - Keep two records: a
TaskCreateledger and a run file. The ledger is the live view (one task per phase, statuses current, branch, PR number, weight); the run file is the durable one, because the ledger does not surviveEnterWorktree, an MCP reconnect, or a plan-mode exit. Phase 0 writes it, Phase 1 records the reconcile into it, Phases 4/5/6 each stamp it on convergence (stamps.reviewedClean/securityClean/rubricGraded— that is what makes a resume able to skip a pass already done), and Phase 6 reads the rubric from it — so a skipped step fails loudly at a later phase instead of silently. Every phase that writes is named here, so if a phase you are in is absent, nothing writes on its behalf and you must not assume something else did. (Two non-phase writers exist and are documented where they apply: an async run writes the file before anyScheduleWakeup, and Phase 1's adopt path flipsentrybefore re-locking — seereferences/.) Location and schema:references/worktree-lifecycle.md. Every run-file write afterEnterWorktreegoes throughScripts/deliver-runfile.py— the worktree guard refuses ad-hoc writes to.git/deliver/, sometimes silently — and the script verifies its own postcondition: exit 0 printsverified: …; anything else means the write did not land and is a hard stop for the phase making it. Never carry on assuming state you did not read back — the #493 delivery certified a plan revision to the juror panel that two silent refusals had kept off disk. A template→replicate delivery adds thePhase 4a — reference-unit reviewgate task, which blocks Phase 9. A multi-deliverable plan keeps one ledger sub-tree per deliverable. - Jot knowledge candidates the moment a learning occurs (a lookup, a
gotcha, a live-API surprise, a non-obvious decision) — one line each
(
<category>: <gist> [where]), in the ledger. Mirror the list into the run file (deliverables.<n>.knowledgeCandidates, viadeliver-runfile.py) at Phase 7 entry at the latest — the ledger does not surviveEnterWorktree, and the resume rule restores candidates from the file, so an unmirrored list is one a resumed run silently loses. Phase 7 curates them; reconstruction later loses the best material. - Auto-start after plan-mode approval.
ExitPlanModeapproval IS the start signal — invoke/deliverimmediately; pause first only if Phase 0's entry gate fires.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 789 lines · 0 tokens per session scan A f4cd4c110cee
deliver is a skill published in the GitHub repository adamayoung/TMDb (176 stars, last pushed 9d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 12,402 tokens. 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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