Install
$ agentstack add skill-zedarvates-botte-secrete-metrics ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
metrics — quantify a project's token/cost profile
Surfaces the numbers an audit should give you, framed around cost. A multi-stack project (website + game server + client + tools) has no single number, so everything is broken down per component.
python -m skills.metrics.cli
python -m skills.metrics.cli --porthos reports//audit-report.json --json
What it reports
- LOC by language and by top-level component (with bars).
- Duplicate-function groups (stdlib AST, free).
- Directive health + always-on context cost: instruction tokens × turns
— e.g. a 2.3k-token CLAUDE.md ≈ 70k tokens/session just re-sending rules.
- Local-routing posture: backends present → cheap work at 0 cloud tokens.
- Skill-search tokens avoided by
find_skills(catalog × ~150 tok). - The audit's own cost:
analysis_llm_tokens = 0— the scans are
deterministic Python; only synthesis by the orchestrating model costs tokens.
- Deep audit summary (health / dead code / secrets) if a Porthos
audit-report.json is reachable (.botte/ or --porthos).
Why this framing
The headline an audit should produce: "analysis cost 0 tokens; your always-on instructions cost ~70k/session; local routing can move cheap work to 0 cloud tokens." That's the number that justifies the toolkit.
Exposed via [[llmmcp]] as the metrics tool. Related: [[infraadvisor]] (auto audit), [[directivesaudit]], [[skillfinder]], [[bootstrap]].
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: zedarvates
- Source: zedarvates/botte-secrete
- License: MIT
- Homepage: https://github.com/zedarvates/botte-secrete
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.