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 jqaisystems/jqai-ai-skills --skill implement-client-feedbackgit clone --depth 1 https://github.com/jqaisystems/jqai-ai-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/jqaisystems/jqai-ai-skills/implement-client-feedback)<a href="https://agentmods.dev/skills/jqaisystems/jqai-ai-skills/implement-client-feedback"><img src="https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/implement-client-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/jqaisystems/jqai-ai-skills/implement-client-feedback"><img src="https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/implement-client-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 | $0.00065 | $0.00593 |
| Opus 5 | $0.00032 | $0.00296 |
| Sonnet 5 | $0.00013 | $0.00119 |
| Haiku 4.5 | $0.00006 | $0.00059 |
Grade A, and why
implement-client-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 10d 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implement Client Feedback
Turn client language into a controlled implementation contract, apply the authorized changes, and verify the result against the feedback source.
1. Establish the authoritative feedback set
- Confirm the project root, current artifact or version, feedback source, and requested outcome.
- Read the latest approved brief, feedback, current implementation, and relevant handoff material before changing files.
- Treat the latest explicit decision as authoritative when it overrides earlier direction.
- Preserve literal replacement text, names, exclusions, filenames, and approved claims.
2. Build the feedback matrix
- Use assets/feedback-implementation-brief.md.
- Classify every item as
change,keep,remove,exclude,question, orfuture. - Record the literal instruction, minimal interpretation, target, acceptance evidence, and status.
- Keep rejected concepts in a prominent exclusion list so older files or templates cannot reintroduce them.
- Separate client requests from optional internal improvements.
3. Resolve only material ambiguity
- Inspect the current artifact to resolve locations, nearby patterns, and implementation details.
- Record small reversible assumptions that cannot change the intended outcome.
- Ask before choosing a visual direction, changing approved scope, removing a public route, altering rights or deliverables, or contradicting literal feedback.
- Do not turn a focused revision into a redesign.
4. Implement with controlled scope
- Follow the project's existing architecture, versioning, and file conventions.
- Start from the latest approved foundation.
- Preserve approved elements and unrelated user-owned changes.
- Apply only confirmed changes and keep excluded items absent.
- Use the appropriate project tools for code, copy, images, documents, or website work.
- Do not deploy, publish, upload, send, or change external permissions unless the user explicitly authorizes that separate action.
What ships with it
2 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.
- 10d ago First seen · 52 lines · 65 tokens per session scan A defb8b6dbcf0
implement-client-feedback is a skill published in the GitHub repository jqaisystems/jqai-ai-skills (3 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 593 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.
Other skills, from other repositories
implement-improvements
Validate improvements from .turbo/improvements.md, recommend a working set tailored to what's in the backlog, and run one lane: direct fixes, investigation, or planned work. One lane per session. Use when the user asks to "implement improvements", "work on improvements", "address improvements", "process improvement…
note-improvement
Capture an out-of-scope improvement opportunity so it doesn't get lost. Use when the user asks to "note improvement", "save improvement", "track this for later", "remember this improvement", "note this idea", "log improvement", "backlog this", or "park this idea". Also invoke proactively when noticing something…
create-issue
Create a GitHub issue with a drafted title and body. Use when the user asks to "create an issue", "file an issue", "open an issue", "submit an issue", "report a bug", "file a bug report", "file a feature request", or "file a design proposal".
pick-next-issue
Fetch and rank open GitHub issues by community engagement, present the top 3 candidates, and plan implementation for the selected issue. Use when the user asks to "pick next issue", "next issue", "which issue should I work on", "top issues", "most popular issues", "prioritize issues", or "what should I work on next".
split-and-ship
Execute an approved split plan, shipping each change group separately as its own branch and PR or as sequential commits on the current branch. Use when the user asks to "split and ship", "ship the split plan", "create separate PRs", or "split changes into branches".
timeline-creator
Create HTML timelines and project roadmaps with Gantt charts, milestones, phase groupings, and progress indicators. Use when users request timelines, roadmaps, Gantt charts, project schedules, or milestone visualizations.