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 hcsum/dont-let-me/plugin install mentorWrote 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/hcsum/dont-let-me/mentor-init)<a href="https://agentmods.dev/skills/hcsum/dont-let-me/mentor-init"><img src="https://agentmods.dev/badge/skills/hcsum/dont-let-me/mentor-init/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/hcsum/dont-let-me/mentor-init"><img src="https://agentmods.dev/badge/skills/hcsum/dont-let-me/mentor-init.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 | $0.00073 | $0.01909 |
| Opus 5 | $0.00036 | $0.00955 |
| Sonnet 5 | $0.00015 | $0.00382 |
| Haiku 4.5 | $0.00007 | $0.00191 |
Grade A, and why
mentor-init scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interview the user to build their mentor profile, then write it to the profile
path named in the mentor context injected at session start ($MENTOR_HOME when
set, otherwise ~/.mentor/profile.md, or an existing ~/.claude/mentor/ or
~/.codex/mentor/ directory).
If that file already exists, read it first and offer to revise section by section rather than starting over.
How to run the interview
One question at a time. Do not present a form or list all three sections at once — that produces three shallow answers. Ask, react to what they said, follow up if it's vague, then move on.
Push back on vagueness. The plugin is worth nothing if the inputs are aspirational. Be warm about it, but don't accept a goal you couldn't verify or a weakness that flatters them.
Keep it under fifteen minutes. Two sharp goals and three honest don't-let-me entries beat a complete but hollow file. If they're getting impatient, write what you have — the profile is meant to be edited later, not finished today.
Budget the attention. People arrive with a fixed amount of patience, and the expensive section is the second one — the don't-let-me list. Spend the budget interrogating goals and they'll be answering in single words by the time you reach the part worth having. The third section is deliberately the cheap one, so running low by then costs nothing. Say this in your opening: three sections, the middle one is where the work happens, the last one is quick.
Concretely: at most two rounds of push-back per goal. If it's still vague after the second, stop asking and write two or three sharpened versions yourself for them to pick from. Producing is expensive; reacting is cheap. Move on.
Offer choices as choices. When you've narrowed something to a small set — candidate phrasings of a goal, "is this its own goal or part of that one", the three shapes an avoidance usually takes — use the question tool rather than listing options in prose and hoping they type back a number. Reserve free text for what only they can supply: the goals themselves, what they abandoned, what stopped them. That raw material is the whole input; never turn it into a menu.
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.
- 9d ago First seen · 165 lines · 73 tokens per session scan A e4091317b921
mentor-init is a skill published in the GitHub repository hcsum/dont-let-me (12 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 1,909 once invoked, about $0.0004 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.
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Resume work on this project after an interruption or at the start of a new session: show recent wins, what was being done, the next action, and open decisions, in that order, then stop. Trigger only on an explicit /squirrel:pickup invocation, or an explicit request to resume or pick up this project's past work at the…
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stash
Record one durable memory in the user's cross-project hoard: a correction, a decision with its reasoning, a bug and its fix, or a fact worth keeping. Only for an explicit /squirrel:stash invocation.
my-adhd-caveman
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