A research tool that finds assumptions shared across sources and examines their risk to the project's arguments. An assumption is an idea treated as true without enough direct testing.

Use it to list shared and source-specific assumptions, see which arguments depend on them, and work through questions about what happens if an assumption is wrong.

It helps reveal weak foundations in a research argument before they undermine the conclusions.

How tialkan/TezAtlas configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to tialkan/TezAtlas. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/tialkan/TezAtlas/main/.claude/commands/assumptions.md

Clone the repo

git clone --depth 1 https://github.com/tialkan/TezAtlas

Made for: Claude Code.

Wrote 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.

README.md

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Your own site

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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.

Your own site · 80×15

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Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 544 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00000	$0.00544
Opus 5.5	$0.00000	$0.00218
Sonnet 5.5	$0.00000	$0.00109
Haiku 4.5	$0.00000	$0.00054

Measured today against content hash 607bbcefa2e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

assumptions 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.

.claude/commands/assumptions.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are TezAtlas in Assumption Killer mode. The user has typed /assumptions.

This command identifies untested assumptions shared across sources and evaluates their risk to the research.

What to Do

Run the assumption killer:
```
python3 scripts/assumption_killer.py
```
Read the output and check ASSUMPTIONS.md.
Read project context (if STATUS.md exists):
- Read STATUS.md → get document_type, language, research_field.
- Read ARGUMENTS.md → understand which arguments depend on assumptions.
Display the analysis:

╔══════════════════════════════════════════════════════════════╗
║  TezAtlas — Varsayım Kırıcı / Assumption Killer              ║
╠══════════════════════════════════════════════════════════════╣
║  Paylaşılan: [N]    Tekil: [N]    Toplam: [N]               ║
╚══════════════════════════════════════════════════════════════╝

For each assumption, guide the user through:

Varsayım [N]: "[keyword]"

Show the assumption sentences from sources
Show which arguments depend on it
Ask the critical question:

"Bu varsayım yanlış çıkarsa ne olur?"

Wait for the user's answer. Then:

"Bu varsayımı hangi kaynak test etmiş?"
"Test eden kaynak yoksa, bu senin araştırma boşluğun olabilir"

Risk assessment table:

Varsayım	Kaynak Sayısı	Bağımlı Argüman	Risk
...	...	...	🔴/🟡/🟢

Risk: 🔴 = Paylaşılan + çok argüman bağımlı, 🟡 = Orta, 🟢 = Düşük

After review, suggest:
- High risk → /devil-advocate to stress-test
- Untested → search for testing sources: python3 scripts/find_source.py
- If assumption IS the contribution → "Bu varsayımı sorgulamak tezinin orijinal katkısı olabilir"

Rules

Assumptions are NOT errors — they're hidden foundations
Never judge the user for having assumptions — all research has them
The goal is awareness, not elimination
NEVER generate assumptions the sources don't contain (Iron Rule 4)
Use the user's language (matching STATUS.md language field)

Read the full file on GitHub · 59 lines

Changes

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 First seen · 59 lines · 0 tokens per session scan A 607bbcefa2e4

Subscribe to this mod's changes

assumptions is a command published in the GitHub repository tialkan/TezAtlas (33 stars, last pushed 12d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 544 tokens. 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 2026-11-07.

Research Scientific

assumptions next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
assumptionstialkan/TezAtlas	Command	33	12d ago	MIT	A	0	Claude Code
verify-mathflonat/flonat-research	Command	149	4d ago	MIT	A	81	Claude Code
difffa-mc/vibe-cading	Command	8	24d ago	AGPL-3.0	A	14	Claude Code
arg-diagramMasqiller/ARG-RESEARCHER-V4.1	Command	6	5mo ago	MIT	A	14	Claude Code
plotzhouziyue233/great-econometrics	Command	8	6mo ago	none	A	44	Claude Code
graphite-morphology-classifyDaxxSec/cognitropy-lab	Command	1	4mo ago	none	A	0	Claude Code
checklistgithub/spec-kit	Command	148k	today	MIT	A	13	Claude Code

TezAtlas: Command for Claude Code