Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add melodic-software/claude-code-plugins/plugin install planningWrote 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/melodic-software/claude-code-plugins/interview)<a href="https://agentmods.dev/skills/melodic-software/claude-code-plugins/interview"><img src="https://agentmods.dev/badge/skills/melodic-software/claude-code-plugins/interview/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/melodic-software/claude-code-plugins/interview"><img src="https://agentmods.dev/badge/skills/melodic-software/claude-code-plugins/interview.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 | $0.00196 | $0.13853 |
| Opus 5.5 | $0.00078 | $0.05541 |
| Sonnet 5.5 | $0.00039 | $0.02771 |
| Haiku 4.5 | $0.00020 | $0.01385 |
Grade A, and why
interview scanned grade A with 1 finding 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 22d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Then write the frontier with `add-round` and arm the watcher as a background Bash task. Write the register's `open` rows yourself in the same step as `add-round`; the frontier-rounds contract (recommendation, basis, alte How it starts
The opening of the file, as written. The whole thing — 440 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository context. Gather first
Collect these with individual Bash calls, one command per call, never combined into a single invocation:
- Current branch,
git branch --show-current - Recent commits,
git log --oneline -5 - Working tree status (empty = clean),
git status --porcelain | head -10
The pipe is the bound and belongs in the command. A read-time cap ("read only the first 10 entries") bounds nothing: the Bash tool returns the command's complete output into context before there is anything to decide about.
Treat a failure (not a repository, git unavailable) as an unknown value and carry on. Keep these as separate body Bash calls rather than pre-compute lines: the harness runs a skill's whole pre-compute block as one shell invocation, and a worktree-isolated session refuses a compound command that contains git. The dated record for that composition claim is the worktree skill's reference/gather-block.md, "The pre-compute block runs as one shell invocation".
Variables
Arguments: $ARGUMENTS
Purpose
Rework often comes from acting on assumptions the user never made and the agent never surfaced, an underspecified task, one missing the constraints needed to act safely. /planning:interview is the pipeline's underspecification resolver: a structured pass driving every unknown the task depends on to a decision OR capturing it as a named, explicit assumption, before exploration, planning, or execution start.
The pre-clarity stage. Upstream of exploration, research, and /planning:plan. /planning:plan presupposes a coherent task; /planning:interview produces one out of fuzzy intent. The contract it writes is the target every later stage aims at.
Supportive, not adversarial. /planning:devils-advocate attacks an existing artifact after the fact. /planning:interview walks alongside the user to extract a clear contract from the start.
What ships with it
12 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.
- context/assumption-sweep.md 4.3 KB
- context/gotchas.md 6.8 KB
- context/loop.md 47 KB
- context/relentless-mode.md 1.2 KB
- context/session-config.md 10 KB
- context/surface.md 27 KB
- evals/evals.json 38 KB
- evals/fixtures/auto-guard-residue/codebase-survey.md 1.9 KB
- evals/fixtures/auto-guard-residue/task-context.md 2.0 KB
- evals/fixtures/lock-stop-on-gap/codebase-survey.md 1.7 KB
- evals/fixtures/lock-stop-on-gap/task-context.md 2.2 KB
- templates/checklist.md 6.4 KB
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.
- 22d ago Changed · +14 lines ec9e79ccaa32
- 23d ago Changed 2272f1a324fa
- 24d ago Changed · +14 lines 1bc733618f24
- 27d ago Changed 3a2998a36590
- 1mo ago Changed 076ef35fe56f
- 1mo ago Changed · +3 lines 0f3139f8f0ca
- 1mo ago Changed · +123 lines · +14 tokens per session f5b12562a40e
- 1mo ago Changed · +1 lines 45d640cd8a94
- 1mo ago Changed · +12 lines 15fdf4d00b13
- 1mo ago First seen · 273 lines · 182 tokens per session scan A c181cb8c1236
interview is a skill published in the GitHub repository melodic-software/claude-code-plugins (26 stars, last pushed today), licensed MIT. It adds 196 tokens to every session and 13,853 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
parallel-orchestrator
Manage parallel Claude Code workstreams using git worktrees. Use when: splitting large tasks across multiple workers, coordinating parallel development, monitoring worker progress, integrating completed work, analyzing work item documents (code reviews, issue lists). Triggers: parallel, orchestrator, worktrees…
parallel-worker
Execute focused implementation tasks in a parallel workflow. Use when: working on assigned files in a worktree, making checkpoint commits, signaling dependencies or blockers, completing orchestrator-assigned tasks. Triggers: worker, checkpoint, worktree, assigned scope, commit prefix, parallel task.
optimize-local-search
For NP-hard optimization: TSP, scheduling, assignment problems. Uses greedy construction + local improvement (2-opt, hill climbing).
solve-constraint-puzzle
For constraint satisfaction: Sudoku, scheduling, N-queens, logic puzzles, SAT-like problems, assignment problems. Uses propagate-then-search pattern.
test-with-examples
For example-driven development: test cases as specifications, input/output pairs, documentation through examples.
return-none-for-failure
For graceful failure: return None or False instead of exceptions, let caller decide how to handle failure.