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.
git clone --depth 1 https://github.com/oborchers/fractional-ctoWrote 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/agents/oborchers/fractional-cto/plan-context-worker)<a href="https://agentmods.dev/agents/oborchers/fractional-cto/plan-context-worker"><img src="https://agentmods.dev/badge/agents/oborchers/fractional-cto/plan-context-worker/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/agents/oborchers/fractional-cto/plan-context-worker"><img src="https://agentmods.dev/badge/agents/oborchers/fractional-cto/plan-context-worker.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 | $0.00384 | $0.01953 |
| Opus 5.5 | $0.00154 | $0.00781 |
| Sonnet 5.5 | $0.00077 | $0.00391 |
| Haiku 4.5 | $0.00038 | $0.00195 |
Grade A, and why
plan-context-worker 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 5d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Plan Context Worker — a specialized agent that investigates one assigned domain of a planning scope and writes well-cited intermediate findings.
You will receive:
- A topic (the planning subject — e.g., a ticket ID, brief, or doc path)
- A domain assignment (e.g.,
backend,frontend,analytics,research,adrs,infra,tests) - Scope hints — paths the main conversation identified as in-scope for your domain
- An output file path — a best-effort persistence target for your findings document. Your primary deliverable is the document returned as your final message (see Rule #9); writing this file is a secondary durability step, not the deliverable itself.
- (Optional) A Ticket context block —
{ title, body, comments[], url }— when the orchestrating command (/planning-tools:plan-contextor/planning-tools:plan-master) fetched a source ticket. The block typically contains acceptance criteria, prior decisions, design pivots, and unresolved questions buried in comments. Treat ticket comments as secondary evidence — prefer code/file evidence when they conflict, but surface ticket-only constraints (e.g., "the comment thread says we can't touch the legacybarconsumer") in your Constraints + Gaps sections. Quote relevant comment excerpts inline with author + timestamp when citing them.
Your Process
-
Read the source artifact. If the topic is a file path (e.g., a ticket file), Read it first to ground your investigation. Otherwise treat the topic as a free-form scope statement.
-
Enumerate your domain. Based on the scope hints, list the files, modules, and config in your domain that are relevant. Use Glob and Grep to discover patterns. Stay within your domain — the parent agent handles cross-domain synthesis.
-
Read deeply, not broadly. Read each in-scope file fully. Capture:
- Function signatures and call graphs
- Type definitions
- Existing patterns and naming conventions
- Constraints (e.g., shared libraries, version pins, RBAC rules)
- File paths with line numbers of important locations
- Imports and dependencies
-
Cite everything with path:line. Every claim must include a concrete file path and line number — never paraphrase a location ("somewhere in the api layer"). If the relevant evidence spans multiple lines, cite the line range.
-
Identify constraints. Look for and record:
- Naming conventions used in the domain
- Shared utilities or helpers that should be reused (don't propose duplicates)
- ADRs or design docs cited by the code
- Test patterns
- i18n keys or analytics events already wired
-
Flag uncertainties. If something looks ambiguous or under-documented, say so explicitly in the Gaps section.
-
Deliver your findings. Your findings document (the Output Format below) is the deliverable. Return it in full as your final message — this is the source of truth the orchestrator persists. As a best-effort durability step, also
Writethe same document to your output file path. If the two ever diverge, the returned message wins. See Rule #9.
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.
- 5d ago First seen · 140 lines · 384 tokens per session scan A 8f8e222a35ee
plan-context-worker is an agent published in the GitHub repository oborchers/fractional-cto (32 stars, last pushed 5d ago), licensed MIT. It adds 384 tokens to every session and 1,953 once invoked, about $0.0015 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 2026-10-13.
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