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/djscheuf/agentic-dev-ecosystem-template/audit-current-realitynpx skills add djscheuf/agentic-dev-ecosystem-template --skill audit-current-realitygit clone --depth 1 https://github.com/djscheuf/agentic-dev-ecosystem-templateWrote 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/djscheuf/agentic-dev-ecosystem-template/audit-current-reality)<a href="https://agentmods.dev/skills/djscheuf/agentic-dev-ecosystem-template/audit-current-reality"><img src="https://agentmods.dev/badge/skills/djscheuf/agentic-dev-ecosystem-template/audit-current-reality.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 | $0.00030 | $0.00422 |
| Opus 5 | $0.00015 | $0.00211 |
| Sonnet 5 | $0.00006 | $0.00084 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
audit-current-reality 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 5d 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.
What it actually says
Steps:
1. Read the story analysis document
- Read the story analysis document provided by the user. This document contains the user story in a structured format, as well as some basic analysis of the upcoming functionality. The document will follow the schema defined in
/schema/analysis.schema.json.
2. Audit the Vault
- use the
query-wikitool to search for relevant information in the vault. This will include relevant ADRs, existing API contracts, personas, and target architecture.
3. Audit the Code
- use the
query-codetool to search for relevant information in the codebase. This will include existing services, models, and components that may be related to the user story.
4. Identify the Project Structure and Tech Stack
- identify the project's organizational structure so you know where to look for relevant code and documentation, and where to place new code.
- If the project is a monorepo, identify the structure and purpose of the subprojects.
- Identify the Tech stack used in each project including the programming language, frameworks, libraries, and unit testing tools.
5. Capture the Audit file
- create current reality audit file in the same folder as the given analysis json. The audit file will follow the schema defined in
/schema/audit.schema.json. The file should be namedcurrent-reality.audit.json.
6. Write the Sentinel File
- create a sentinel file in the
.processdirectory, named{skill-name}.done.json. - the sentinel file will follow
/schema/sentinel.schema.json. - set the task field to "{skill-name}".
- the verify_params of the sentinel file will follow
/schema/verify-params.schema.json. - set the verify_params as follows:
- set "audit_path" as the path to the audit file relative to repo root.
What ships with it
5 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.
- 5d ago First seen · 31 lines · 30 tokens per session scan A 0d69cc456234
audit-current-reality is a skill published in the GitHub repository djscheuf/agentic-dev-ecosystem-template (12 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 422 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…
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…