TMDb: Skill for Claude Code

.claude/skills/deliver/SKILL.md

deliver is a skill for Claude Code from adamayoung/TMDb. It costs 0 tokens per session (12,402 once invoked), scanned A, original, Apache-2.0.

An orchestrated workflow that takes an approved coding plan through implementation, tests, review, CI, and a ready-to-merge GitHub pull request. A pull request is a proposed change for review before it is merged.

In plain words
What is it for?
Use it after approving a plan, or to select a ready project issue, implement it, run checks, open a pull request, and watch CI.
Why use it?
It gathers the delivery steps and safety checks into one process, using a separate Git worktree so the main checkout remains untouched during the work.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions subagents.

This is adamayoung/TMDb's own configuration. It tells Claude Code how to work on TMDb itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything TMDb configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/adamayoung/TMDb/main/.claude/skills/deliver/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/adamayoung/TMDb

Made for: Claude Code.

Wrote 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.

agentmods badge for deliver

README.md
[![agentmods](https://agentmods.dev/badge/skills/adamayoung/tmdb/deliver/github.svg)](https://agentmods.dev/skills/adamayoung/tmdb/deliver)
Your own site
<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.

agentmods 80×15 button for deliver

Your own site · 80×15
<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>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 12,402 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
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.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 10d ago against content hash f4cd4c110cee, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

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.

.claude/skills/deliver/SKILL.md · 789 lines

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.

  1. Invoking /deliver is 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 /deliver drafted 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 next does. In auto it is not a pause at all — the phase0n-selection panel rules instead.
  2. 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.
  3. Never work on main — always in a fresh worktree, entered before /review-plan or any file edit (CLAUDE.md forbids editing main).
  4. 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-failures and re-run — never hard-stop on someone else's flake. Only a genuine, in-diff, unfixable break stops the pipeline.
  5. Test-first all the way. Every review-loop fix follows canon-tdd — failing test first. No untested patches.
  6. Keep two records: a TaskCreate ledger 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 survive EnterWorktree, 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 any ScheduleWakeup, and Phase 1's adopt path flips entry before re-locking — see references/.) Location and schema: references/worktree-lifecycle.md. Every run-file write after EnterWorktree goes through Scripts/deliver-runfile.py — the worktree guard refuses ad-hoc writes to .git/deliver/, sometimes silently — and the script verifies its own postcondition: exit 0 prints verified: …; 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 the Phase 4a — reference-unit review gate task, which blocks Phase 9. A multi-deliverable plan keeps one ledger sub-tree per deliverable.
  7. 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, via deliver-runfile.py) at Phase 7 entry at the latest — the ledger does not survive EnterWorktree, 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.
  8. Auto-start after plan-mode approval. ExitPlanMode approval IS the start signal — invoke /deliver immediately; pause first only if Phase 0's entry gate fires.

Read the full file on GitHub · 789 lines

Files

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.

Changes

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.

  1. 10d ago First seen · 789 lines · 0 tokens per session scan A f4cd4c110cee

Subscribe to this mod's changes

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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