Improve Skills From Validated Feedback
Repeated workflow lessons can be lost or applied without enough evidence. This skill captures structured experiences and creates traceable proposals before durable guidance changes.
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "self-improving-agent" from https://skillstore.io/skills/charon-fan-self-improving-agent.md and its manifest at https://skillstore.io/api/skills/charon-fan-self-improving-agent/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Using "self-improving-agent". A debugging workflow found an empty refresh callback in three separate incidents.
Expected outcome:
Using "self-improving-agent". A user reports that a generated deployment guide was incomplete.
Expected outcome:
Static findings are predominantly false positives caused by Markdown code fences, inline backticks, research links, and documentation of local paths. The bundled hook scripts only log event metadata and output lengths; they do not perform network requests, command interpolation, or memory writes. The documented automatic memory workflow still needs privacy controls because it can retain context from many skill events.
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
https://skillstore.io/skills/charon-fan-self-improving-agent/audits/8?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/charon-fan-self-improving-agent?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/charon-fan-self-improving-agent?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/charon-fan-self-improving-agent/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/charon-fan-self-improving-agent.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>charon-fan. (2026). self-improving-agent security audit report (audit version 8) [Author version unspecified]. Skillstore. https://skillstore.io/skills/charon-fan-self-improving-agent/audits/8@techreport{charon-fan-charon-fan-self-improving-agent-2026,
author = {charon-fan},
title = {self-improving-agent security audit report (audit version 8)},
institution = {Skillstore},
year = {2026},
number = {8},
url = {https://skillstore.io/skills/charon-fan-self-improving-agent/audits/8},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "self-improving-agent security audit report (audit version 8)"
version: "unspecified"
type: report
authors:
- name: "charon-fan"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/charon-fan-self-improving-agent/audits/8"
identifiers:
- type: other
value: "skillstore:charon-fan-self-improving-agent:audit:8"
description: "Skillstore immutable audit report identifier"
Turn recurring support and review lessons into traceable proposals for shared skill guidance.
Record verified root causes and promote repeated debugging patterns after review.
Collect feedback signals and validate proposed changes before updating agent instructions.
Review this completed workflow. Extract one verified lesson, its evidence, and a safe proposal for future use.
Summarize these user feedback notes into episodic memories. Separate facts from assumptions and assign confidence.
Compare these episodes. Identify patterns that recur, explain the supporting evidence, and propose only low-risk guidance updates.
Create a proposal to improve this skill. Include affected files, evidence, validation steps, rollback notes, and ask for approval before durable edits.
Author
charon-fanLicense
MIT
Skillstore revision
r2
Version notice
The author did not declare a version.
Ref
c43861a65bb95efcae259cd161c9d6f4dc7eec6f
Maintenance freshness
7/24/2026
Usage
122 downloads · 234 views
File structure
Build Measurable Feedback Loops
by C0ntr0lledCha0s
Repeated mistakes weaken AI-assisted work and make improvement difficult to measure. This skill creates review cycles, checkpoints, issue logs, and metrics for systematic refinement.
Create Slash Commands for AI Workflows
by DNYoussef
Repeated AI workflows are slow when users rely on long natural language prompts. This skill helps define concise slash commands with routing, validation, chaining, and help text.
Create Focused AI Micro-Skills
by DNYoussef
Reusable AI workflows often grow too broad and hard to test. This skill helps define focused skills with specialist prompts, contracts, and validation plans.
Compress Long Agent Contexts Reliably
by muratcankoylan
Long agent sessions can lose decisions, file history, and next steps during compression. This skill provides structured methods and probes that preserve operational context.
Improve AI Responses with Actionable Reviews
by C0ntr0lledCha0s
Weak responses often hide correctness, clarity, completeness, or security issues. This skill converts those issues into prioritized recommendations with examples, implementation steps, trade-offs, and verification criteria.
Chain Agent Pipelines With Streamed Outputs
by DNYoussef
Agent workflows often lose context between stages. This skill shows how to pass outputs through memory or streams with validation steps.