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 skills add bookforge-ai/bookforge-skills --skill structured-reflection-protocolgit clone --depth 1 https://github.com/bookforge-ai/bookforge-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/bookforge-ai/bookforge-skills/structured-reflection-protocol)<a href="https://agentmods.dev/skills/bookforge-ai/bookforge-skills/structured-reflection-protocol"><img src="https://agentmods.dev/badge/skills/bookforge-ai/bookforge-skills/structured-reflection-protocol.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 | $0.00175 | $0.05107 |
| Opus 5 | $0.00088 | $0.02554 |
| Sonnet 5 | $0.00035 | $0.01021 |
| Haiku 4.5 | $0.00017 | $0.00511 |
Grade A, and why
structured-reflection-protocol 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 3d 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.
The source is not reproduced here
Licensed CC-BY-SA-4.0
The repository is licensed CC-BY-SA-4.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 3d ago First seen · 401 lines · 175 tokens per session scan A 6be1d4b6b1ed
structured-reflection-protocol is a skill published in the GitHub repository bookforge-ai/bookforge-skills (35 stars, last pushed 4mo ago), licensed CC-BY-SA-4.0. It adds 175 tokens to every session and 5,107 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 2026-09-03.
Other skills, from other repositories
experiential-learning-cycle-designer
Structure a direct experience into a full learning cycle with concrete experience, reflection, and conceptual transfer. Use when planning field trips, simulations, or practical tasks.
service-learning-project-designer
Design a service-learning project connecting genuine community need with embedded curriculum learning. Use when planning community projects, civic engagement, or social action units.
single-point-rubric-designer
Design a single-point rubric with one criterion and open columns for evidence. Use for student self-assessment, peer feedback, teacher formative feedback, or pre-task planning. Works with any learning target, with or without a band system.
reflective-practice-prompt-generator
Generate structured reflection prompts for a specific teaching experience or professional learning challenge. Use when debriefing lessons, journaling, or preparing for coaching conversations.
srl-session-wrapper
Wrap a learning session in a plan → monitor → reflect cycle. Use at the start of any substantial study session to set goals, mid-session to check strategy, and at session end to consolidate what changed. Builds self-regulated learning as a habit.
recall-quiz
Active recall layer. After giving a substantive answer, ask one compact multiple-choice question (4-5 options) mined from that answer, then grade it and explain. Use whenever the user asks to be quizzed or tested or wants to retain material — quiz me, test me, pop quiz, test my knowledge, check my understanding, drill…