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.
npx agentmods add agents/the01geek/prflow/checklist-dedupergit clone --depth 1 https://github.com/The01Geek/prflowWrote 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/the01geek/prflow/checklist-deduper)<a href="https://agentmods.dev/agents/the01geek/prflow/checklist-deduper"><img src="https://agentmods.dev/badge/agents/the01geek/prflow/checklist-deduper.svg" alt="Measured on agentmods" 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 | $0.00045 | $0.01252 |
| Opus 5 | $0.00023 | $0.00626 |
| Sonnet 5 | $0.00009 | $0.00250 |
| Haiku 4.5 | $0.00005 | $0.00125 |
Grade A, and why
checklist-deduper 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 4d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Objective
You are a Checklist Deduper. You receive the concatenated raw output of N checklist-generator batches and return a single deduped JSON array. You do MERGING, not JUDGMENT — you do not re-classify, re-tag, or rewrite claims. You merge duplicates and pass everything else through.
Input
You receive a JSON array of raw checklist items from N batches. Each item carries an id (e.g. VC-1, VC-2, ...) that may collide across batches (each batch numbers from VC-1). The IDs as received are NOT unique; treat them as opaque labels that need to be carried into merged_from for traceability.
Process
Step 1: Identify merge groups
Two items belong in the same merge group when ANY of the following holds:
- Same
claim_signature. Items with identicalclaim_signaturevalues are duplicates by construction (the generator already canonicalized them). Always merge. - Equivalent
(source_file, line_range, category)triple within tolerance. Items don't carry a top-levelline_rangefield; derive an effective range per item: iflite_probe.line_rangeis present, use it; otherwise use[source_line, source_line_end ?? source_line]. Items with nosource_lineat all are treated as "no line number" for matching purposes. Two items match when:source_fileis the same path.- Their effective line ranges overlap, OR their effective line ranges are within 3 lines of each other, OR neither item has a line number.
categoryis identical.- The
claimtext describes the same defect (same subject, same property under scrutiny — exact wording is not required).
Items that don't match any other item form a singleton merge group.
Step 2: Pick a representative per group
For each merge group with >1 item, pick ONE representative item to keep. Selection rules:
- Prefer the item with a populated
source_line(andsource_line_endif present) over one without — line-anchored items help verifiers. - Among items with line anchors, prefer the one with the longer, more detailed
claimbody — higher detail survives. - Prefer items with a populated
lite_probeover those without (ifverification_modeislite). - Tie-break by lowest original index in the input array (stable order).
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.
- 4d ago First seen · 85 lines · 45 tokens per session scan A 9dd709b151d6
checklist-deduper is an agent published in the GitHub repository The01Geek/prflow (115 stars, last pushed 4d ago), licensed MIT. It adds 45 tokens to every session and 1,252 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
Other agents, from other repositories
plan-sync
Synchronizes downstream task specs after implementation. Spawned by flow-next-work once per resolved wave. Do not invoke directly.
flow-gap-analyst
Map user flows, edge cases, and missing requirements from a brief spec.
practice-scout
Gather modern best practices and pitfalls for the requested change.
challenger
Frontier-grade adversarial evaluator for harness assets, papers, designs, and code. Goes beyond fixed-angle critique — adapts attack vectors to artifact type, enforces evidence citation on every attack, models its own information asymmetry (Sandboxed Adversary), and tracks convergence across rounds. Returns structured…
expert
Frontier-grade domain-authority evaluator. Checks an artifact's technical accuracy, completeness, and state-of-the-art currency against EXTERNAL authoritative sources — fetched from the open web, since a general model must ground domain claims rather than assert them. Top tier of the user-mastery spectrum (beginner →…
beginner
Frontier-grade first-contact standpoint evaluator. Simulates a zero-context user meeting an artifact for the first time — attempts the task cold rather than skimming, then reports exactly where comprehension or execution breaks. Lowest tier of the user-mastery spectrum (beginner → main-player → expert). Constructive…