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 agentmods add skills/darrencroton/ai-agent-coder/reportnpx skills add darrencroton/ai-agent-coder --skill reportgit clone --depth 1 https://github.com/darrencroton/ai-agent-coderWrote 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/darrencroton/ai-agent-coder/report)<a href="https://agentmods.dev/skills/darrencroton/ai-agent-coder/report"><img src="https://agentmods.dev/badge/skills/darrencroton/ai-agent-coder/report.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 | $0.00061 | $0.00695 |
| Opus 5 | $0.00030 | $0.00347 |
| Sonnet 5 | $0.00012 | $0.00139 |
| Haiku 4.5 | $0.00006 | $0.00069 |
Grade A, and why
report 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 4d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Report
Use this skill only when the useful deliverable is a human-readable synthesis of evidence and judgment. Keep it lean. The report should clarify what was found, what it means, and what should happen next without replacing the narrower workflow skills.
Relationship To Other Skills
Prefer the more specific skill whenever one applies:
- Use
implementation-planfor plan-first work, frozen acceptance slices, authorized surfaces, validation plans, and next-chat prompts. - Use
scoped-implementationfor implementation receipts after a frozen slice is executed. - Use
drift-auditfor authorization gates. - Use
code-reviewfor quality findings and review verdicts. - Use
handoffwhen the goal is to preserve continuation state for another chat or agent. - Use
project-manager'srun-report.mdand per-slice assessments for PM run status. - Use
commitfor commit messages and staging discipline.
report may summarize outputs from those skills after they have done their jobs, but it must not redefine their contracts or invent replacement sections.
Workflow
- State the report question or decision in one sentence.
- Gather enough primary evidence to support the claims.
- Decide the lightest useful structure for the user's request.
- Write the synthesis with clear separation between facts, interpretation, recommendations, and unknowns.
- End with the concrete next action, or state that none is needed.
Default Shape
Use only the sections that add value. Rename or omit sections for short status notes.
## Summary
## Evidence
## Findings
## Recommendation / Next Action
## Risks / Unknowns
For comparisons, include the decision criteria before the recommendation. For final summaries, include validation performed and residual risks. For status notes, a short Current State, Blockers, and Next Action format is enough.
Evidence Standard
- Reference the files inspected.
- Name commands, traces, tests, logs, or documents used.
- Separate confirmed facts from assumptions.
- State what was not checked when that affects confidence.
- Keep conclusions proportional to the evidence available.
- When synthesizing outputs from multiple Reviewers or contributors, define the judgment criteria before making evaluative claims.
- When reporting an audit chain, identify whether each drift audit and code review was performed by a Reviewer or by Developer self-audit; include the Reviewer tool/label or self-audit fallback context when available.
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.
- 4d ago First seen · 70 lines · 61 tokens per session scan A a89d67e0f505
report is a skill published in the GitHub repository darrencroton/ai-agent-coder (2 stars, last pushed 2d ago), licensed MIT. It adds 61 tokens to every session and 695 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
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…