checklist

A required pre-coding checklist that records why a change is needed, the chosen approach, affected files, likely test impact, and the verification command.

In plain words
What is it for?
Use it before modifying source files to create .sentinel/current-task.json with the task analysis, affected areas, expected test changes, and test command.
Why use it?
It makes the change's scope and risks explicit before source code is edited, and a project hook can block edits if the checklist is missing.

Skill for Claude CodeCodex

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 skills/tk-logl/sentinel/checklist
Any agent
npx skills add tk-logl/sentinel --skill checklist
Clone the repo
git clone --depth 1 https://github.com/tk-logl/sentinel

Made for: Claude Code, Codex.

Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,211 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00038 $0.01211
Opus 5 $0.00019 $0.00606
Sonnet 5 $0.00008 $0.00242
Haiku 4.5 $0.00004 $0.00121

Measured 2d ago against content hash 26be8b05c4f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

checklist 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 2d 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.

"pytest tests/test_n8n.py -x && python3 -c \"import requests; r=requests.get('http://localhost:8443/api/n8n/status'); print(r.status_code, r.json())\""
skills/checklist/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pre-Implementation Checklist

This is not a checkbox exercise. This is your implementation blueprint — a real analysis document that you fill with actual research before writing any code.

When to Use

Before editing ANY source code file (.py, .ts, .tsx, .js, .jsx, .go, .rs, .java, .c, .cpp), you must create .sentinel/current-task.json. The pre-edit-gate hook will block edits without it.

The Checklist File

Create .sentinel/current-task.json with ALL of these fields:

{
  "task_id": "UNIQUE-ID",
  "why": "Business/quality reason for this change",
  "approach": "Chosen approach with reasoning (Option A because X, rejected Option B because Y)",
  "impact_files": [
    "path/to/file.py:function_name — description of impact",
    "path/to/other.ts:Component — imports changed module"
  ],
  "blast_radius": {
    "tests_break": ["test_name — why it breaks"],
    "tests_add": ["new_test_name — what it verifies"]
  },
  "verify_command": "pytest tests/test_module.py -x && npm run build"
}

How to Fill Each Field (with real analysis, not placeholders)

task_id

A unique identifier for this task. Use your project's convention (CRIT-1, FEAT-42, BUG-7) or create a descriptive one (fix-login-crash, add-rate-limit).

why

Not "because the audit said so." State the actual business or quality reason:

  • BAD: "Fix bug" / "Audit item" / "Needs fixing"
  • GOOD: "Users get 500 error when clicking Save because PMRequest.get() doesn't exist on dataclasses"
  • GOOD: "API endpoint leaks internal paths in error messages, violating OWASP information disclosure rules"

approach

Pick ONE approach, explain why, and document what you rejected:

  1. Research the options:

    • Read the current code
    • Check documentation for the framework/library
    • Consider 2-3 different ways to fix it
  2. Choose one and justify:

    "Option A: Use attribute access (req.phase) instead of dict access (req.get('phase')).
     Reason: PMRequest is a dataclass, not a dict. Direct attribute access is correct.
     Rejected Option B: Convert PMRequest to dict first — unnecessary overhead, changes API contract.
     Band-aid check: This is root-cause fix — the dataclass was always a dataclass, the code was always wrong."
    

Read the full file on GitHub · 132 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. 2d ago First seen · 132 lines · 38 tokens per session scan A 26be8b05c4f6

Subscribe to this mod's changes

checklist is a skill published in the GitHub repository tk-logl/sentinel (4 stars, last pushed 5mo ago), licensed MIT. It adds 38 tokens to every session and 1,211 once invoked, about $0.0002 per session on Opus 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 2026-08-31.

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