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 skills add terrylica/cc-skills --skill pypi-dopplergit clone --depth 1 https://github.com/terrylica/cc-skillsWrote 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/terrylica/cc-skills/pypi-doppler)<a href="https://agentmods.dev/skills/terrylica/cc-skills/pypi-doppler"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/pypi-doppler/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/terrylica/cc-skills/pypi-doppler"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/pypi-doppler.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Rogue Agent · line 248 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00042 | $0.02036 |
| Opus 5 | $0.00021 | $0.01018 |
| Sonnet 5 | $0.00008 | $0.00407 |
| Haiku 4.5 | $0.00004 | $0.00204 |
Grade A, and why
pypi-doppler scanned grade A with 1 finding 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 6d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Supports: curl install, Homebrew, cargo, mise, asdf - doesn't force any method How it starts
The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PyPI Publishing with Doppler (Local-Only)
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
When to Use This Skill
Use this skill when:
- Publishing Python packages to PyPI from local machine
- Setting up Doppler for PyPI token management
- Creating local publish scripts with CI detection guards
- Validating repository ownership before release
WORKSPACE-WIDE POLICY: LOCAL-ONLY PUBLISHING
This skill supports LOCAL machine publishing ONLY.
FORBIDDEN
- Publishing from GitHub Actions
- Publishing from any CI/CD pipeline (GitHub Actions, GitLab CI, Jenkins, CircleCI)
publishCmdin semantic-release configuration- Building packages in CI (
uv buildin prepareCmd) - Storing PyPI tokens in GitHub secrets
REQUIRED
- Use
scripts/publish-to-pypi.shon local machine - CI detection guards in publish script
- Manual approval before each release
- Doppler credential management (no plaintext tokens)
- Repository verification (prevents fork abuse)
Rationale
- Security: No long-lived PyPI tokens in GitHub secrets
- Speed: 30 seconds locally vs 3-5 minutes in CI
- Control: Manual approval step before production release
- Flexibility: Centralized credential management via Doppler
See: ADR-0027, docs/development/PUBLISHING.md
Overview
This skill provides local-only PyPI publishing using Doppler for secure credential management. It integrates with the workspace-wide release workflow where:
- GitHub Actions: Automated versioning ONLY (tags, releases, CHANGELOG)
- Local Machine: Manual PyPI publishing with Doppler credentials
Bundled Scripts
| Script | Purpose |
|---|---|
scripts/publish-to-pypi.sh |
Local PyPI publishing with CI detection guards |
What ships with it
7 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.
- 6d ago First seen · 251 lines · 42 tokens per session scan A bd1081995002
pypi-doppler is a skill published in the GitHub repository terrylica/cc-skills (72 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 2,036 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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