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.
npx agentmods add skills/toejough/engram/pleasenpx skills add toejough/engram --skill pleasegit clone --depth 1 https://github.com/toejough/engramWhat 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 | $0.00187 | $0.04473 |
| Opus 5 | $0.00093 | $0.02237 |
| Sonnet 5 | $0.00037 | $0.00895 |
| Haiku 4.5 | $0.00019 | $0.00447 |
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.
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.
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.
- 2d ago First seen · 147 lines · 187 tokens per session scan A a6f784a36a42
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.
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