Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add ericfitz/skills/plugin install profileWrote 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/ericfitz/skills/stack)<a href="https://agentmods.dev/skills/ericfitz/skills/stack"><img src="https://agentmods.dev/badge/skills/ericfitz/skills/stack/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/ericfitz/skills/stack"><img src="https://agentmods.dev/badge/skills/ericfitz/skills/stack.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 | $0.00053 | $0.00901 |
| Opus 5.5 | $0.00021 | $0.00360 |
| Sonnet 5.5 | $0.00011 | $0.00180 |
| Haiku 4.5 | $0.00005 | $0.00090 |
Grade A, and why
stack 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
stack
Identify the ecosystem of a repository and emit the stack contract.
This is the gate phase for downstream discovery: every other phase's search strategy depends on knowing the ecosystem, and the inventory this phase produces is passed forward inside its contract so no downstream phase re-runs the script.
Bundled tool: ${CLAUDE_PLUGIN_ROOT}/scripts/profile_inventory.py
Reference: ${CLAUDE_PLUGIN_ROOT}/references/ecosystems.md
Contract: ${CLAUDE_PLUGIN_ROOT}/references/contracts/stack.schema.json
Example: ${CLAUDE_PLUGIN_ROOT}/references/contracts/examples/stack.example.json
Usage
/profile:stack [path] # default: current directory
path may be an extracted snapshot rather than a live checkout: an orchestrator running on a --ref snapshot
passes the scan's scan_root (a git archive of the branch). To profile a branch
standalone, check it out or extract it (git archive <ref> | tar -x -C <dir>) and pass
that directory; this skill takes no --ref itself.
Output location
Emit the contract as your reply. When an orchestrating skill gives you a run dir, also save it to
<run_dir>/stack.json. Standalone, keep it in the reply (or the session scratchpad if it
is large) — never write it into the target repo.
Procedure
-
Run the inventory script:
uv run --script ${CLAUDE_PLUGIN_ROOT}/scripts/profile_inventory.py <path>--scriptis required: it isolates the run from the target repo's own project config, which would otherwise be resolved and can fail on repos with private indexes or unpublished dependencies.If
uvis not installed, run the same path underpython3— this script declares no dependencies — and mention the fallback in your summary.Exit 2 means the path is unusable — stop and report that.
-
Read
coverage_confidenceandunclassified.highwith an emptyunclassified— trust the census; go to step 4.highwith a non-emptyunclassified— read those files. Anything you cannot account for goes inunknowns[]and capsconfidenceatpartial(step 6).partialorlow— the script found things it could not classify. Go to step 3.
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 Changed · +15 lines 0be8d8e1e6b4
- 1mo ago First seen · 65 lines · 53 tokens per session scan A 1b3cc8b5f45f
stack is a skill published in the GitHub repository ericfitz/skills (0 stars, last pushed yesterday), licensed Apache-2.0. It adds 53 tokens to every session and 901 once invoked, about $0.0002 per session on Opus 5.5. 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
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…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
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…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…