estimate-token-cost
Skill1 starsChanged 3 months agoMITView on GitHub
Type: skill (deterministic) · Used by: fleet workflows · Status: STUB (P0 scaffold — not yet implemented)
In this repository42 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
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The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 7
When implemented, compute a per-target token ceiling before a fleet fan-out and enforce it: if the projected spend for a target exceeds the …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
estimate-token-cost
Compute a per-target token ceiling before fan-out and fail closed when exceeded.
Type: skill (deterministic) · Used by: fleet workflows · Status: STUB (P0 scaffold — not yet implemented)
Prompt
When implemented, compute a per-target token ceiling before a fleet fan-out and enforce it: if the projected spend for a target exceeds the ceiling, FAIL CLOSED for that target rather than overspending.
Apply stage-by-engine routing: pure code for parse / compare / arithmetic / IO; a small model only for narration; a large model only for the reviewer subagent and the fleet cross-check.
Inputs: target count + per-stage engine plan -> Output: per-target ceiling and a go / fail-closed decision per target.
Tools
none — deterministic (plain code)
Data
none
Notes
Activation: P3+. The token-efficiency control Mark asked for. Hard rule: fan-out fails closed — never silently overspend. Most stages must route to pure code; large-model calls are reserved for the reviewer and the cross-check only.
Frozen skill registry: AGENTS.md in this repo
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