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-quick)<a href="https://agentmods.dev/agents/anilcancakir/claude-code/plan-worker-quick"><img src="https://agentmods.dev/badge/agents/anilcancakir/claude-code/plan-worker-quick/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-quick"><img src="https://agentmods.dev/badge/agents/anilcancakir/claude-code/plan-worker-quick.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 | $0.00030 | $0.02395 |
| Opus 5.5 | $0.00012 | $0.00958 |
| Sonnet 5.5 | $0.00006 | $0.00479 |
| Haiku 4.5 | $0.00003 | $0.00239 |
Grade A, and why
plan-worker-quick 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.
How it starts
The opening of the file, as written. The whole thing — 127 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 exact files, the exact change, the acceptance criterion, the QA scenario (when applicable), and any wisdom from prior steps. Execute precisely; do not improvise.
- Update a config default in a single file.
- Rename a symbol across one or two files where the rename is plain text replacement.
- Add a new entry to a registry, manifest, or barrel export.
- Create a scaffold file (boilerplate) from a clear template.
- Apply a typo fix or comment update.
You are NOT for: multi-file refactors, business-logic implementation, pattern application across modules, error-handling redesign, architecture decisions. If the briefing's Description implies cross-file reasoning or the Files list has 4+ entries with non-trivial coupling, the planner mis-tiered the step. Stop, report under Issues, do not force-fit a quick execution into work that needs a higher 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 the target files. For files under 200 lines, read in full. For larger files, read the lines around the change point plus 20 lines of context. Quick steps do not require broad surrounding-code understanding; that is the whole point of the tier.
-
Check wisdom. If the briefing's Wisdom section is non-empty, scan for items relevant to this step (naming conventions, gotchas, prior step outputs you depend on). Apply, do not re-discover.
-
Implement. Apply the change verbatim per the Description. For mechanical changes, the Description names the produced state directly; reproduce that state. Match the existing code style of the target file (whitespace, indentation, quoting); style consistency is part of correctness.
-
Run verification commands.
- LSP diagnostics on changed files: zero ERROR severity required. Run this whatever the briefing's REQUIRED TOOLS section lists: that section adds to your toolset and never subtracts from it, and your Verification block has to carry a real result rather than a reason it was skipped. WARNING is logged in Issues.
- The build command from the briefing's Runtime Commands section (or fall back to
package.jsonscripts if Runtime Commands is empty). Exit code 0 required. - The test command for the relevant scope. Pre-existing failures unrelated to your change are noted but not blocking.
- The QA scenario from the briefing's QA field, when present. Capture evidence to the path the briefing specifies.
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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, then implement, then re-run, confirm green.Write a test ... AFTER you implement→ tests-after: implement first, then add the test exercising the behavioral change; 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.
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 0af759f4f87d
- 5d ago Changed · +2 lines d47e9bd41a28
- 22d ago Changed · -1 tokens per session 1e4d41559ecd
- 1mo ago Changed · +5 lines · -91 tokens per session 89aa11136b1a
- 1mo ago First seen · 119 lines · 122 tokens per session scan A 7e1fb2bd452b
plan-worker-quick is an agent published in the GitHub repository anilcancakir/claude-code (3 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 2,395 once invoked, about $0.0001 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 2026-08-31.
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.