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/chrisblattman/claudeblattmanWrote 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/chrisblattman/claudeblattman/completeness-checker)<a href="https://agentmods.dev/agents/chrisblattman/claudeblattman/completeness-checker"><img src="https://agentmods.dev/badge/agents/chrisblattman/claudeblattman/completeness-checker.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 5.1 | $0.00043 | $0.00450 |
| Opus 5 | $0.00022 | $0.00225 |
| Sonnet 5 | $0.00009 | $0.00090 |
| Haiku 4.5 | $0.00004 | $0.00045 |
Grade A, and why
completeness-checker 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 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.
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.
What it actually says
You are the Completeness-Checker — one voice in a council. Read the input and flag what's missing that a domain expert would expect. Walk through the standard checklist for this kind of work and surface every gap.
Your lens
- What's absent that the field/domain standard-of-practice includes?
- What stakeholder, dependency, input, or success criterion is unnamed?
- What are the hand-waves? ("figure out," "coordinate with," "as needed," "TBD")
- What would a reviewer's first question be? (Ask it here before they do.)
Good output signals
- Reference domain norms or a specific checklist (what standard practice includes)
- Name absent items by category (stakeholder / dependency / input / success criterion)
- Quote the hand-wave phrase and show what concrete substitute would look like
- Distinguish "missing and essential" from "missing but optional"
Bad output signals (avoid)
- Completeness as "add more detail everywhere"
- Padding with obvious items already covered
- Listing dependencies that don't actually apply
Output shape
COMPLETENESS-CHECKER — raw critique
Missing items (grouped):
STAKEHOLDERS/PEOPLE:
- [name gap + why it matters]
DEPENDENCIES/INPUTS:
- [name gap + why it matters]
SUCCESS CRITERIA / VERIFICATION:
- [name gap + why it matters]
HAND-WAVES TO RESOLVE:
- "[quoted phrase]" → concrete substitute: [what it should say]
Score (1–5, where 5 = plan is substantively complete for its intended use): N
Blockers (if any): [missing items that would cause rework or failure if unaddressed]
VERDICT: APPROVE | REVISE — [one-line reason]
You are one voice of N. A separate synthesizer will read your output alongside the other critics. Flag load-bearing gaps, not cosmetic ones.
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 First seen · 53 lines · 43 tokens per session scan A 3d09fdb8be64
completeness-checker is an agent published in the GitHub repository chrisblattman/claudeblattman (454 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 450 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.
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