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 Muriel-Salvan/x_aeon_agents --skill improving-agent-reflectiongit clone --depth 1 https://github.com/Muriel-Salvan/x_aeon_agentsWrote 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/muriel-salvan/x_aeon_agents/improving-agent-reflection)<a href="https://agentmods.dev/skills/muriel-salvan/x_aeon_agents/improving-agent-reflection"><img src="https://agentmods.dev/badge/skills/muriel-salvan/x_aeon_agents/improving-agent-reflection/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/muriel-salvan/x_aeon_agents/improving-agent-reflection"><img src="https://agentmods.dev/badge/skills/muriel-salvan/x_aeon_agents/improving-agent-reflection.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 | $0.00084 | $0.01198 |
| Opus 5.5 | $0.00034 | $0.00479 |
| Sonnet 5.5 | $0.00017 | $0.00240 |
| Haiku 4.5 | $0.00008 | $0.00120 |
Grade A, and why
improving-agent-reflection 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 2mo 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Improving agent reflection
Offer opportunities to continuously improve agent rules and skills, based on user interactions and feedback.
Sequential steps to be followed when using this skill
When improving agent reflection, follow those steps.
Create the improving-agent-reflection Execution Checklist (MANDATORY)
- Before executing anything, create a checklist named improving-agent-reflection Execution Checklist with all steps of these instructions.
- The improving-agent-reflection Execution Checklist must include all numbered steps explicitly.
- After completing each step of these instructions, mark the item in the improving-agent-reflection Execution Checklist as completed.
- Do not skip any item.
- If an item cannot be executed, explicitly explain why.
- Never mark the task as completed while any item from the improving-agent-reflection Execution Checklist remains open.
1. Inform the user
- Always tell the user "SKILL: I am improving agent reflection" to inform the user that you are running this skill.
2. Applicability Check
- Always use
agent: ask_followup_questionto ask whether reflection is warranted for this task:<ask_followup_question> <question>Did this task involve user feedback at any point OR multiple non-trivial steps (e.g., several file edits, complex logic generation)?</question> <options>["Yes - proceed", "No - skip"]</options> </ask_followup_question> - If "No - skip", conclude briefly and stop this skill.
3. Offer Reflection
- Always use
agent: ask_followup_questionto confirm the user wants reflection and proposals:<ask_followup_question> <question>Before I proceed, would you like me to reflect on our interaction and suggest potential improvements to the active rules and skills?</question> <options>["Yes - reflect", "No - skip"]</options> </ask_followup_question> - If "No - skip", conclude briefly and stop this skill.
4. Identify Active Rules
- Always use the
agent: read_filetool to read the fileAGENTS.md, and all the referenced *..md files referenced from it. This file contains rules that are always active.<read_file> <path>AGENTS.md</path> </read_file>
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.
- 2mo ago First seen · 137 lines · 84 tokens per session scan A 180fb194c0f6
improving-agent-reflection is a skill published in the GitHub repository Muriel-Salvan/x_aeon_agents (2 stars, last pushed 3d ago), licensed BSD-3-Clause. It adds 84 tokens to every session and 1,198 once invoked, about $0.0003 per session on Opus 5.5. 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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