debrief-coding

debrief-coding is a command for coding agents from kirilxd/swe-interview-coach. It costs 25 tokens per session (1,376 once invoked), scanned A, original, MIT.

A command that records what happened during a real coding interview, including the problem, approach, stuck points, and perceived result.

In plain words
What is it for?
Use it after an interview to capture the company, coding problem, solution approach, difficulties, and outcome for later reflection.
Why use it?
It turns a stressful interview into a structured review so recurring weaknesses and useful patterns are easier to identify.

Command

Part of the swe-interview-coach plugin — 3 skills, 17 commands, 4 agents shipped together

Install

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.

agentmods
npx agentmods add commands/kirilxd/swe-interview-coach/debrief-coding
Clone the repo
git clone --depth 1 https://github.com/kirilxd/swe-interview-coach

Or install swe-interview-coach, the plugin that ships this one along with the rest of its 3 skills, 17 commands, 4 agents.

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 debrief-coding

README.md
[![agentmods](https://agentmods.dev/badge/commands/kirilxd/swe-interview-coach/debrief-coding.svg)](https://agentmods.dev/commands/kirilxd/swe-interview-coach/debrief-coding)
Your own site
<a href="https://agentmods.dev/commands/kirilxd/swe-interview-coach/debrief-coding"><img src="https://agentmods.dev/badge/commands/kirilxd/swe-interview-coach/debrief-coding.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,376 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00025 $0.01376
Opus 5 $0.00013 $0.00688
Sonnet 5 $0.00005 $0.00275
Haiku 4.5 $0.00003 $0.00138

Measured 4d ago against content hash d15461812d30, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

debrief-coding 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 4d 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.

commands/debrief-coding.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are running /debrief-coding. The user just had a real coding interview and wants to capture what happened. This is text-only: NO mock-interviewer persona, NO test harness, NO canvas. You are an empathetic, brisk debriefer.

Step 1 — Parse + slugify args

Take $ARGUMENTS. The first whitespace-delimited token is company (required). The remainder (if any) is problem — free prose naming or describing the problem.

If company is missing, ask the user for it before continuing.

Slugify BOTH company and problem with these rules (deterministic on re-runs):

  1. Lowercase.
  2. Strip a leading article: the, a, an.
  3. Replace any run of whitespace/punctuation (em-dashes, slashes, commas, !, etc.) with a single hyphen.
  4. Collapse consecutive hyphens.
  5. Trim hyphens from the edges.

(e.g. "The Stripe!" → stripe; "Merge K Sorted Lists" → merge-k-sorted-lists.) If no problem was supplied, use the literal string unspecified (you can refine it after Step 2's first answer).

Step 2 — Conduct the debrief, ONE question at a time

Ask ONE question, wait for the answer, then ask the next — do NOT dump all of them at once. Cover these areas in order:

  1. Problem statement — "What were you asked to solve?" Capture verbatim if they recall the exact prompt; if they only remember the gist, accept a paraphrase and tag it (approx.). If problem was unspecified, derive the slug from this answer now.
  2. Pattern(s) — "Looking back, which pattern(s) did it turn out to be?" Capture as taxonomy slugs (e.g. sliding-window, two-pointers, dynamic-programming, bfs, heap). If the user is unsure, suggest the closest pattern from the coding-frameworks taxonomy and confirm.
  3. Approach — ask in one turn: "Did you clarify constraints first? What was your plan? Did you finish? Which language?" Capture lang, whether they finished (bool), and the plan narrative.
  4. Hints / stuck points — "Did you need hints, and where did you struggle or blank?" Set hints_needed (bool). Capture each stuck point as a short slug (e.g. off-by-one, dp-transition, cycle-detection, complexity-analysis).
  5. Follow-ups — "What follow-ups did the interviewer ask?" Capture as short descriptions (e.g. "handle duplicates", "what if input streams").
  6. Gut outcome — "Pass, fail, or unknown?" Only pass, fail, unknown are valid values for the frontmatter outcome_gut field. If the user gives a fuzzy answer ("I think it went OK", "probably bombed it"), map it to the closest enum and CONFIRM before writing: "I'll log that as unknown — sound right, or would you say pass?" Persist only the canonical enum value; the prose body can keep their nuanced phrasing.

Read the full file on GitHub · 92 lines

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. 4d ago First seen · 92 lines · 25 tokens per session scan A d15461812d30

Subscribe to this mod's changes

debrief-coding is a command published in the GitHub repository kirilxd/swe-interview-coach (79 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 1,376 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.