Borrowing it
Nothing to install: this file belongs to Softleif/seqair. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Softleif/seqair/main/.agents/skills/tracey/SKILL.mdgit clone --depth 1 https://github.com/Softleif/seqairWrote 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/softleif/seqair/tracey)<a href="https://agentmods.dev/skills/softleif/seqair/tracey"><img src="https://agentmods.dev/badge/skills/softleif/seqair/tracey/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/softleif/seqair/tracey"><img src="https://agentmods.dev/badge/skills/softleif/seqair/tracey.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Memory Poisoning · line 196 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- medium Excessive Agency · line 31 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00051 | $0.01670 |
| Opus 5.5 | $0.00020 | $0.00668 |
| Sonnet 5.5 | $0.00010 | $0.00334 |
| Haiku 4.5 | $0.00005 | $0.00167 |
Grade A, and why
tracey 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 1mo 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 — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tracey
Add proper spec annotations to code using Tracey's requirement tracking system.
Overview
Tracey maintains traceability between specification requirements and code. This skill helps add proper r[impl req.id] and r[verify req.id] annotations to code, find which requirements need implementation or testing, and understand Tracey annotation syntax.
Primary Interface: Use Tracey MCP tools (tracey_status, tracey_uncovered, tracey_untested, tracey_stale, tracey_rule, tracey_unmapped, tracey_validate, tracey_config) to discover requirements and validate coverage. The MCP tools provide self-documenting output showing which prefixes to use and what requirements need work.
When to Use
Use this skill when:
- Working with a project that has
.config/tracey/config.styx - User asks to "add spec annotations" or "annotate with requirements"
- Need to find which requirements are uncovered or untested
- Writing code that implements spec requirements
- Writing tests that verify spec requirements
Quick Reference: MCP Tools
| Tool | Purpose |
|---|---|
tracey_status |
See configured specs, prefixes, and coverage percentages |
tracey_uncovered |
List requirements without implementation |
tracey_untested |
List requirements without verification/tests |
tracey_stale |
List references that point to older requirement versions |
tracey_unmapped |
Show code that lacks requirement references |
tracey_rule <id> |
Get full details about a specific requirement |
tracey_validate |
Validate references and naming for a spec/impl |
tracey_config |
Display configured specs, impls, include/exclude globs |
Tip: Start with tracey_status to see what prefix to use (e.g., r[...] vs shm[...]), then use tracey_uncovered or tracey_untested to find work that needs doing.
Workflow: Adding Annotations
Step 1: Check Configuration and Prefixes
Use the tracey_status MCP tool to see configured specs and their prefixes:
What ships with it
1 file 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.
- 1mo ago First seen · 259 lines · 51 tokens per session scan A fde68cb13609
tracey is a skill published in the GitHub repository Softleif/seqair (31 stars, last pushed today), licensed Apache-2.0. It adds 51 tokens to every session and 1,670 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 2026-09-04.
Other skills, from other repositories
polars
High-performance DataFrame library for Python ETL, analytics, and pandas migration. It supports expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.
codew-release-qa-sweep
Use before claiming Codewhale release work is done: run the full gate sweep and list the manual QA targets.
cw-gates
Use before claiming any Codewhale change is done, green, or ready to land: the focused-to-broad verification ladder, the budget checks CI enforces, and the rules for what counts as a passing test.
verify
Exercise the real app/API/CLI and collect observable evidence; tests alone do not count as end-to-end verification.
webapp-testing
Start/reuse a local app, wait for readiness, inspect rendered state/console/network, act from observed selectors, and verify with evidence.
test-warp-ui
Guides testing Warp UI features and changes using the computer use tool. Use this skill only when computer-use testing was requested (explicit request or accepted offer) and the computeruse tool is available to the agent. Covers launching Warp and verifying UI behavior.