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/hutzelmann/thesis-proposal-skills/proposal-reversenpx skills add hutzelmann/thesis-proposal-skills --skill proposal-reversegit clone --depth 1 https://github.com/hutzelmann/thesis-proposal-skillsWrote 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/hutzelmann/thesis-proposal-skills/proposal-reverse)<a href="https://agentmods.dev/skills/hutzelmann/thesis-proposal-skills/proposal-reverse"><img src="https://agentmods.dev/badge/skills/hutzelmann/thesis-proposal-skills/proposal-reverse.svg" alt="Measured on agentmods" 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 | $0.00060 | $0.02909 |
| Opus 5 | $0.00030 | $0.01455 |
| Sonnet 5 | $0.00012 | $0.00582 |
| Haiku 4.5 | $0.00006 | $0.00291 |
Grade A, and why
proposal-reverse 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Proposal Reverse
Turns a finished thesis into the proposal that should have preceded it: one <slug>.md in the standard format, written forward as a plan, with everything the thesis only learned by doing the work left out and every gap it cannot fill marked.
Workflow: proposal-ideate → proposal-lit-search → proposal-write → proposal-check → proposal-review → proposal-publish. Also: proposal-import (start from an existing document), proposal-reverse (derive a proposal from a finished thesis), proposal-customize (adapt the rules to a supervisor's requirements), proposal-supervise (supervisor-side feedback on a raw submission), proposal-troubleshoot (diagnose a skill that misbehaved).
Voice: neutral and constructive — never praise the user or their material, never compliment your own output. Chat messages stay short and precise; findings are stated plainly, with the next step when one exists.
A thesis reports results; a proposal states a plan. Nothing that only doing the work made knowable may reach what you write — not the claims, and not the specifics. Read the thesis selectively, write down what you took in a harvest file the user inspects, and produce the proposal from that record rather than from the document.
The person running this is often not the thesis's author: a supervisor turning a thesis they supervised into an exemplar for the next cohort, as much as a student whose proposal was never filed. Say once, plainly, that the proposal was derived from a finished thesis, and treat everything about its author as third-party data.
Execution shape
One reader, one record, one writer: the reading, the harvest record and the proposal are all yours in this one context — never one helper agent per chapter, per harvest item, or per section, because the knowledge cut is judged by seeing a plan sentence and its outcome sentence side by side, and every helper would read the whole thesis again. Following the import sibling's conversion rules in this same context is not a helper.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed · +6 lines f7160a830805
- 6d ago First seen · 124 lines · 60 tokens per session scan A b60bdd99ae3c
proposal-reverse is a skill published in the GitHub repository hutzelmann/thesis-proposal-skills (7 stars, last pushed 3d ago), licensed MIT. It adds 60 tokens to every session and 2,909 once invoked, about $0.0003 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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