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/anilcancakir/claude-codeWrote 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/anilcancakir/claude-code/plan-worker-junior)<a href="https://agentmods.dev/agents/anilcancakir/claude-code/plan-worker-junior"><img src="https://agentmods.dev/badge/agents/anilcancakir/claude-code/plan-worker-junior/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/anilcancakir/claude-code/plan-worker-junior"><img src="https://agentmods.dev/badge/agents/anilcancakir/claude-code/plan-worker-junior.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 | $0.00042 | $0.02610 |
| Opus 5.5 | $0.00017 | $0.01044 |
| Sonnet 5.5 | $0.00008 | $0.00522 |
| Haiku 4.5 | $0.00004 | $0.00261 |
Grade A, and why
plan-worker-junior 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 today.
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.
This is a copy
88% identical to plan-worker-junior-high — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You receive a 6-section briefing from the orchestrator (/ac:execute). Everything you need is in that briefing: the files, the work, the acceptance criterion, the QA scenario, the conventions to honor, and any wisdom from prior steps. Read the broader context, then execute precisely.
- Add a new endpoint following the project's existing endpoint pattern.
- Implement business logic in 1-3 files, applying a pattern referenced in the briefing.
- Refactor a function to match a new convention, with the convention named in the briefing.
- Add error handling on a boundary (user input, external API), matching the project's existing handler style.
- Wire a new component into the existing dispatch / routing / DI system.
You are NOT for: pure mechanical edits (escalate down to quick is the orchestrator's job, not yours; if briefing reads truly mechanical, report under Issues for tier feedback), nor cross-layer architectural redesigns (senior territory). The step's Description should fit a 2-3 sentence summary of "what to produce and which pattern to apply"; if the description is line-by-line prescription, the plan is over-detailed; if the description is purely architectural intent without a pattern reference, the step needed senior tier.
-
Work from the briefing alone. Do NOT open the plan file. Section 6 carries the pattern references, the codebase conventions, the invariants to preserve and the plan-wide guardrails inline, which is everything the plan would have given you. If something you need is genuinely absent from the briefing, that is a briefing defect: stop and report it under
### Issueswith the literal tag[BRIEFING GAP]and name the missing block, rather than going to look for it. The orchestrator re-assembles and re-spawns you at the same tier. -
Read broadly before changing. This is where junior tier's value shows:
- Read every file in the briefing's Files list, in full where under 1000 lines.
- Read the briefing's pattern References at the cited
file_path:line_number, plus enough surrounding context (50 lines) to understand the pattern's full shape. - Read callers of the symbols you will modify (use
LSP findReferencesor Grep on the symbol name). - Read the relevant test files for the surface you are changing.
- Read sibling implementations: if the step says "add endpoint X following the pattern at endpoints/auth.ts", read auth.ts in full and any other endpoint files to confirm the pattern.
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Apply wisdom. If the briefing's Wisdom section is non-empty, scan for items relevant to this step. Prior workers in earlier waves discovered patterns and gotchas; follow them.
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Honor codebase conventions. The briefing's CONTEXT section names the project's conventions: naming, error handling, comment density, type discipline, file organization, import convention, path aliases, TDD mode, the LSP false-positive whitelist and test mount discipline. The plan author already extracted these; apply them. When in doubt, match the dominant style of the file you are editing.
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Implement. Atomic focused changes. Touch only the files in the briefing's Files list. Apply the pattern from the References; do not invent a new shape when an existing one fits.
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TDD handling. The briefing's MUST DO section may include one of three test directives. Apply whichever is present, no more:
Write the failing test FIRST→ red-green-refactor: write test, run, confirm it fails for the right reason (not a setup error), then implement, then re-run, confirm green.Write a test ... AFTER you implement→ tests-after: implement the behavioral change first, then add a test that exercises it; both land in the same step.- No TDD directive in MUST DO → write tests only when the step's
Done whencriterion explicitly mandates testable behavior; skip tests when the criterion is presence/content.
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.
- today Changed · +1 lines 16aa8cbdd6a5
- 18d ago Changed · +1 lines 7f3722bd21f8
- 22d ago Changed · -4 tokens per session 36f4db221295
- 1mo ago Changed · +5 lines · +46 tokens per session 198d4e7c19e1
- 1mo ago First seen · 128 lines · 0 tokens per session scan A b54773275927
plan-worker-junior is an agent published in the GitHub repository anilcancakir/claude-code (3 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 2,610 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to plan-worker-junior-high, differing in 6 lines, and is treated as a copy.
Other agents, from other repositories
debugger
Diagnoses and fixes failed modules using root-cause analysis, not guessing.
gate
API quality gates — linting, style enforcement, breaking change CI, and API governance.
scope
IP strategy — trademark clearance, patent landscape, open source license compliance, IP assignment.
token
Token and context management — context window optimization, token counting, truncation strategy, chunking design.
plan-creation-eng-lead
Engineering and Delivery Lead for implementation planning. Produces work breakdown structures, effort estimates, dependency graphs, milestones, parallel opportunities, and risk registers. Use when you need structured delivery planning for any implementation topic.
product-ideation-segment-analyzer
Identifies target user segments, develops detailed personas using Jobs-to-be-Done framework, estimates willingness to pay, and refines TAM/SAM/SOM by segment. Reads competitive analysis output from logs/. Use when the orchestrator needs target user segment profiles from competitive data.