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/ericfitz/skills/stacknpx skills add ericfitz/skills --skill stackgit clone --depth 1 https://github.com/ericfitz/skillsWhat 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 | $0.00053 | $0.00640 |
| Opus 5 | $0.00026 | $0.00320 |
| Sonnet 5 | $0.00011 | $0.00128 |
| Haiku 4.5 | $0.00005 | $0.00064 |
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 yesterday.
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 — 65 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
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.high— trust the census; go to step 4.partialorlow— the script found things it could not classify. Go to step 3.
-
Fallback reading. Follow the order in
references/ecosystems.mdunder "When the script comes back low-confidence". Read the repo yourself. Correct or extend the script's findings; never discard them silently. -
Determine
runtimesandbuild_commandsfrom the version files and build-command tables inreferences/ecosystems.md. Prefer a command actually present in a Makefile, justfile, or CI workflow over the ecosystem default. -
Determine
monorepo: true when manifests appear in two or more distinct directories. List those directories inmonorepo.packages. -
Emit the contract. Set
inventoryto the script's full JSON output verbatim. Setconfidenceto the script'scoverage_confidence, downgraded one level if your fallback reading contradicted the script.
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.
- yesterday First seen · 65 lines · 53 tokens per session scan A 1b3cc8b5f45f
stack is a skill published in the GitHub repository ericfitz/skills (2 stars, last pushed 9d ago), licensed Apache-2.0. It adds 53 tokens to every session and 640 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.
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