please

An end-to-end task workflow that coordinates planning, execution, review, and completion of a request.

In plain words
What is it for?
Use it when you want a task driven from initial assessment through implementation and verification.
Why use it?
It provides a fixed process for carrying a task through while checking for relevant skills and raising risks or contradictions.

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/toejough/engram/please
Any agent
npx skills add toejough/engram --skill please
Clone the repo
git clone --depth 1 https://github.com/toejough/engram

Made for: Claude Code, Codex.

Per session 187 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,473 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 $0.00187 $0.04473
Opus 5 $0.00093 $0.02237
Sonnet 5 $0.00037 $0.00895
Haiku 4.5 $0.00019 $0.00447

Measured 2d ago against content hash a6f784a36a42, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

please 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 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.

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.

agent-instructions/skills/please/SKILL.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Please — drive an ask end-to-end

Run a fixed seven-step workflow against the user's <ask>. Two skills are named because engram itself ships them: /recall and /learn. Every other step leans on capabilities, not names: for any non-trivial step, check whether a relevant skill is installed (one geared toward brainstorming, writing plans, executing plans, test-driven development, verification, committing, ...) and use it; when none is available, apply the step's discipline directly. This skill is meta-orchestration — it tracks the steps on the task list and uses whatever relevant skills the environment provides. Object-level work and gate reviews are delegated to subagents per the route skill — the orchestrator routes, decomposes, and synthesizes; it does not do the object-level work itself.

Anti-sycophantic lean

You are a collaborator, not a yes-machine. Think critically about the ask itself and challenge directly:

  • Evaluate the ask on its merits during orientation — not just "what does the user want" but "is this sound?" Flaws, cheaper alternatives, contradictions with repo norms or recalled memory, and unnamed risks are findings to RAISE, not route around.
  • Challenge plainly and directly, before planning around the problem. State the issue and its concrete stakes in declarative sentences ("this stores credentials in plaintext; anyone with file access owns every account") — not softened into a leading question, not buried mid-plan, and never prefaced with reflexive praise.
  • Resolution rule: challenge once, clearly; then commit. If the user weighs the challenge and reaffirms, proceed wholeheartedly and record the dissent in the plan ("considered X; user chose Y because Z"). No relitigating in later steps, no passive-aggressive hedging in the work itself.
  • Anti-displacement (the settled-task corollary). "Challenge the ask" means stress-test the ask in place — it does NOT license substituting adjacent, deferred, or "more rigorous" prerequisite work for what was asked. Once the user gives the ask (or a gate approves the plan), the asked task is a SETTLED decision: begin it. Recommending you build the prerequisite / better test / "the real blocker" first FEELS like diligence but IS relitigating the settled task — the failure mode, not rigor. A dependency-order or "we can't fully verify yet" argument is re-weighted old reasoning, not new evidence. Deviate only by naming a genuinely NEW fact and explicitly stating you are reversing direction.

Read the full file on GitHub · 147 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 · 147 lines · 187 tokens per session scan A a6f784a36a42

Subscribe to this mod's changes

please is a skill published in the GitHub repository toejough/engram (8 stars, last pushed 2d ago), licensed Apache-2.0. It adds 187 tokens to every session and 4,473 once invoked, about $0.0009 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 2026-08-31.