Borrowing it
Nothing to install: this file belongs to pandazki/pneuma-skills. 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/pandazki/pneuma-skills/main/.agents/skills/dev-workflow/SKILL.mdgit clone --depth 1 https://github.com/pandazki/pneuma-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/pandazki/pneuma-skills/dev-workflow)<a href="https://agentmods.dev/skills/pandazki/pneuma-skills/dev-workflow"><img src="https://agentmods.dev/badge/skills/pandazki/pneuma-skills/dev-workflow/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/pandazki/pneuma-skills/dev-workflow"><img src="https://agentmods.dev/badge/skills/pandazki/pneuma-skills/dev-workflow.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 | $0.00050 | $0.01176 |
| Opus 5.5 | $0.00020 | $0.00470 |
| Sonnet 5.5 | $0.00010 | $0.00235 |
| Haiku 4.5 | $0.00005 | $0.00118 |
Grade A, and why
dev-workflow 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 14d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pneuma development workflow
This is the shared development procedure for Claude Code and Codex. Read root
AGENTS.md, the relevant domain rules it routes to, and the acceptance criteria.
Read docs/reference/project-guide.md for the affected contracts and their
definition → instantiation → consumer chain. Paths here are repo-relative.
Engineering Judgment is the shared decision standard. Apply it through the questions below; keep its definitions in AGENTS.md rather than copying them into skills or harness adapters.
Choose the work shape
- A lookup or investigation uses explore.
- Architecture design or design review uses architect.
- A scoped implementation uses impl.
- Applying code-review findings uses amender.
- A new mode also uses the
create-modeskill. A release usesbump.
These are role instructions, not a requirement to spawn agents. Work locally by default. Delegate only when the user or the active task's instructions request delegation and the harness provides it. Give each worker a bounded task, actual checkout path, baseline, acceptance criteria, and the relevant role file. Inherit the active harness's model choices; Claude model aliases are not Codex model IDs.
Development loop
- Define the task. Identify the required behavior and invariants, affected contracts, state owners, test scope, and acceptance bar. Inspect existing implementations before choosing new abstractions or dependencies. Use existing user decisions; resolve routine implementation choices without asking again. Check the working tree and preserve unrelated edits. Isolate concurrent writers in separate worktrees.
- Implement. Read the implementation role. For behavior changes, reproduce the defect or pin the new behavior, implement, and verify. Documentation, discovery metadata, and formatting do not need tests that merely repeat text. Keep the model sufficient for the actual task. When introducing a boundary, wrapper, or optimization, retain the reason and evidence for its cost.
- Review. Inspect the actual diff against the requirements and domain rules. Trace each changed invariant through its consumers and boundary mappings. Check compatibility, ownership, lifecycle, and observable failure behavior. For external effects, check what retry, cancellation, recovery, or undo actually guarantees. Challenge layers and dependencies without a concrete role. For UI work, also inspect loading/empty/error states, interaction, design tokens, and browser evidence. Report concrete findings with location, impact, and severity; a missing review is not a passing review.
- Verify. Run the relevant suite from
.claude/rules/testing.md, plusbun run typecheckfor code changes. Usebun run testfor the routine repository gate andbun run test:releasefor releases; the selector enables relevant media/live tiers and falls back to full coverage when scope is unknown.bun run test:all --timeout 60000remains the explicit full run. Inspect the contract boundaries: no React in manifests, no new hardcoded mode knowledge in server/CLI, and backend differences behind the backend seam. UI changes need a browser screenshot and interaction pass. Performance claims need a reproducible baseline and comparison. Save command results and evidence. - Amend. Read the amendment role, address each valid finding, and repeat the affected checks. Accept only when verification passes and review has no open blocker or major finding. Report unresolved issues honestly; never silently count a crashed worker, unrun check, or missing result as success.
What ships with it
4 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.
- 14d ago Changed · +2 lines bcd0e8ffed27
- 1mo ago Changed · +12 lines 3778bcc930e7
- 1mo ago First seen · 78 lines · 50 tokens per session scan A 950e1d9724fd
dev-workflow is a skill published in the GitHub repository pandazki/pneuma-skills (161 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 1,176 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 2026-09-11.
Other skills, from other repositories
code-review
Structured code reviews with severity-ranked findings and deep multi-agent mode. Use when performing a code review, auditing code quality, or critiquing PRs, MRs, or diffs, including a diff or patch pasted inline. For the full multi-agent workflow, use the ia-review command (/ia-review in Claude Code).
receiving-code-review
Process code review feedback critically: check correctness before acting, push back on incorrect suggestions, no performative agreement. Use when responding to PR/MR review comments or implementing reviewer suggestions received from others.
security-privacy-threat-modeling
Use this capability for threat modeling, secure code review, OWASP risk review, API abuse, input/output validation, injection, XSS, CSRF, SSRF, deserialization, security headers, encryption, secrets exposure, audit logging, privacy-by-design, or security acceptance gates.
tuicr
Use tuicr's review CLI to read and add comments in active TUI review sessions, and launch tuicr in cmux, tmux, Zellij, or Herdr when a user needs an interactive review pane.
liveagent-code-review
Review an open GitHub pull request or the current local branch and working tree with parallel, independent reviewers and evidence-based validation. Use when the user asks for code review, invokes the Code Review action from Git Review, or explicitly mentions this skill.
omh-image-cards
This is an OMH img-summary workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).