Install
$ agentstack add skill-cdeust-zetetic-team-subagents-estimation ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Estimation
Problem shape: a quantity is needed for a decision, but there is no measurement — or there is a single number with false precision and no bracket. The move is order-of-magnitude decomposition, two-sided bounds, and limits derived before methods are chosen.
Relevant geniuses
| Agent | Use when | |---|---| | [fermi](../../agents/genius/fermi.md) | decision blocked by missing data; single number with no bracket; feasibility check before committing resources; sanity-check a claimed figure | | [erlang](../../agents/genius/erlang.md) | capacity planning, queue sizing, arrival-vs-service balance, latency exploding near saturation (Little's law audits) | | [thompson](../../agents/genius/thompson.md) | "will this design survive 10x scale?" — surface-to-volume and allometric scale-break analysis | | [laplace](../../agents/genius/laplace.md) | priors need eliciting; estimates need updating as evidence arrives; forecaster calibration is unknown | | [carnot](../../agents/genius/carnot.md) | efficiency claims with no derived theoretical limit; "where is the irreversible loss?" | | [erdos](../../agents/genius/erdos.md) | existence/threshold questions on large combinatorial spaces — probabilistic method instead of enumeration |
Invocation
- Pick the best-fit agent above. If two or more fit, run
tools/genius-invoker.sh route "" and take the top ranked match.
- Load it:
tools/genius-invoker.sh invoke "", then read
agents/genius/.md in full.
- Apply the agent's `` step by step and answer in its
``. Every estimate ships as a two-sided bracket with the dominant uncertainty named — never a bare point value.
- Cross-check: two independent decompositions must agree within ×10 before
the estimate is used for a decision (fermi's sanity-check shape).
- If no shape above matches, use a standard team agent instead.
Refuse when
- The requester wants a precise number a bracket cannot honestly provide —
say what measurement would be needed instead.
- The estimate would be quoted without its bounds.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: cdeust
- Source: cdeust/zetetic-team-subagents
- License: MIT
- Homepage: https://ai-architect.tools
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.