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 ashaykubal/essential-agents-skills --skill continuous-feedbackgit clone --depth 1 https://github.com/ashaykubal/essential-agents-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/ashaykubal/essential-agents-skills/continuous-feedback)<a href="https://agentmods.dev/skills/ashaykubal/essential-agents-skills/continuous-feedback"><img src="https://agentmods.dev/badge/skills/ashaykubal/essential-agents-skills/continuous-feedback/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/ashaykubal/essential-agents-skills/continuous-feedback"><img src="https://agentmods.dev/badge/skills/ashaykubal/essential-agents-skills/continuous-feedback.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 | $0.00029 | $0.03831 |
| Opus 5 | $0.00015 | $0.01916 |
| Sonnet 5 | $0.00006 | $0.00766 |
| Haiku 4.5 | $0.00003 | $0.00383 |
Grade A, and why
continuous-feedback 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.
This is a copy
95% identical to continuous-feedback — 665 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 328 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Continuous Feedback
Analyzes accumulated session handoffs, memory files, and other learning sources to identify concrete improvement opportunities for skills and agents. Spawns a Collector, 1-3 specialized Analyzers (parallel), and a Proposer — then validates and annotates proposals for user review.
When to Use This Skill
Load this skill when the user request matches ANY of these patterns:
| Trigger Pattern | Example User Request |
|---|---|
| Skill improvement | "What improvements can we make to test-audit?", "Evolve code-review" |
| Session learning harvest | "What have we learned across sessions?", "Harvest learnings" |
| Feedback loop | "Run continuous feedback on X", "Analyze our session learnings" |
| Retrospective | "What patterns have emerged?", "Review accumulated experience" |
DO NOT use for:
- Initial topic research (use
research) - Brainstorming new features (use
brainstorm) - Code review (use
code-review) - Debugging (use
issue-debugging)
Dependencies
| Category | Files | Requirement | When to Load |
|---|---|---|---|
| Collect instructions | references/collect-instructions.md |
REQUIRED | Include in Collector prompt |
| Specialization references | references/specialize-*.md |
REQUIRED | Load matching specializations for Analyzers |
| Collect output template | templates/collect-output.md |
REQUIRED | Include in Collector prompt |
| Proposal output template | templates/proposal-output.md |
REQUIRED | Include in Proposer prompt |
| Diagnostic template | templates/diagnostic-output.yaml |
REQUIRED | Use when writing diagnostics |
| Subagent prompting | subagent-prompting skill |
REQUIRED | Load at Stage 0 for 4-part prompt template |
Fallback behavior:
- If a specialization reference is missing: Skip that specialization, always run general Analyzer, note in diagnostics
- If output template is missing: Use the schemas from this SKILL.md directly
What ships with it
7 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.
- 9d ago First seen · 328 lines · 29 tokens per session scan A 207cb57b091b
continuous-feedback is a skill published in the GitHub repository ashaykubal/essential-agents-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 3,831 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to continuous-feedback, differing in 665 lines, and is treated as a copy.
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