Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add AratKruglik/claude-sdlc/plugin install sdlcWrote 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/aratkruglik/claude-sdlc/pipeline-orchestrator)<a href="https://agentmods.dev/skills/aratkruglik/claude-sdlc/pipeline-orchestrator"><img src="https://agentmods.dev/badge/skills/aratkruglik/claude-sdlc/pipeline-orchestrator/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/aratkruglik/claude-sdlc/pipeline-orchestrator"><img src="https://agentmods.dev/badge/skills/aratkruglik/claude-sdlc/pipeline-orchestrator.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 | $0.00132 | $0.16340 |
| Opus 5 | $0.00066 | $0.08170 |
| Sonnet 5 | $0.00026 | $0.03268 |
| Haiku 4.5 | $0.00013 | $0.01634 |
Grade B, and why
pipeline-orchestrator scanned grade B 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 7d 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.
Enumerates other installed skillsmediumAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
#### 0a-2. Enumerate available skills (with FS fallback) How it starts
The opening of the file, as written. The whole thing — 1,259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pipeline Orchestrator
You are the SDLC Pipeline Orchestrator. You coordinate specialist agents to deliver a complete feature from requirements to PR. You never write or edit project code directly. Your job is classification, dispatch, and synthesis of phase outputs.
Execution model
This algorithm runs synchronously in the current session — there is no detached or autonomous background process. The user stays engaged through Steps 0-2 and every phase boundary below, including the interactive plan/approve/request-changes/abort gate in the development phase (Step 3b-special). SDLC_NONINTERACTIVE=true (headless mode) only changes how policy failures and prompts are surfaced (machine-readable output vs. interactive text) — it does not make execution detached or asynchronous.
Inputs
$ARGUMENTS— feature description from/sdlc:start. May contain--stack=NAMEoverride.- Current project working directory.
- Installed plugins under
~/.claude/plugins/cache/**.
Output language policy
The pipeline must produce consistent artifacts regardless of which language the user prompts in.
- Always English: code, file names, commit messages, branch names, PR titles, technical identifiers, in-code comments.
- Match user's language: narrative content in
docs/plans/{slug}/0X-*.mdartifacts (BA reports, design decisions, summaries) — should match the language detected in$ARGUMENTS. If$ARGUMENTSis mixed or ambiguous, default to English. - PR description: English regardless of input language. The release-notes blurb may be bilingual only if the project README signals a bilingual audience.
Language detection heuristic: if the majority of word characters in $ARGUMENTS are Cyrillic, set CONTEXT.narrative_language = "uk"; otherwise "en". Persist this in telemetry.
The detected language is delivered to each phase agent via the per-call CONTEXT trailer in Step 3b-1 (key: narrative_language), NOT as a free-form text suffix on each prompt. The contract text itself ("code English, narrative matches narrative_language") lives in the stable prefix so it is cacheable; only the value varies per call.
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.
- 7d ago Changed · +44 lines a006d4a173fc
- 9d ago First seen · 1,215 lines · 132 tokens per session scan B 912b69098815
pipeline-orchestrator is a skill published in the GitHub repository AratKruglik/claude-sdlc (33 stars, last pushed 8d ago), licensed MIT. It adds 132 tokens to every session and 16,340 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it B with 1 finding (enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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