token-efficiency: Research & Knowledge for AI Agents | OpenAgentSkill

Overview

Shared context-discipline contract every agent imports — context-source priority, read budget, confidence-stop, the severity rubric, and terse output. Load at the start of any review or implementation task.

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Token-efficiency contract (all agents)

Context-source priority (in order)

codegraph (structural) — symbols/calls/impact: MCP codegraph_explore when your allowlist has it, else CLI codegraph callers/callees/impact/query.
graphify (semantic) — meaning/rationale/cross-doc: MCP query_graph/shortest_path/get_* when connected, else CLI graphify query|explain|path.
source — authoritative for any region edited this turn.
docs/knowledge/ — contracts, standards.
lessons — on-demand only, never bulk-loaded.

Read discipline

Minimum files; no repo-wide scans — codegraph for "where/what calls X", graphify for "what connects to X", rg only when neither answers.
Stop at ~90% confidence. Read the relevant section, not the whole file.

Severity rubric (anchors blocking — STRICT MODE, verify-don't-assume)

CRITICAL — exploitable security on a secret/credential/IPC/updater/network-egress path; data loss/corruption; breaks a release or CI gate.
HIGH — architecture-rule violation (std::env::var outside platform/, reqwest::Client outside net/, untyped Result<_,String> outside error/); changed non-trivial logic WITHOUT a test, or a weak/tautological/mock-asserting test; untested error/edge/security path on changed code; provider-specific coupling in business logic; PII/temp-file-cleanup/retention regression; user-facing text whose i18n key is missing from en or de.
MEDIUM — unguarded hot-path perf regression, non-blocking correctness smell, missing non-critical edge test.
LOW — style/naming/comments/formatting/docs.
Only HIGH/CRITICAL block. Tie-break: round UP for test-coverage, error/edge-path, i18n, security, and data findings; round down only for pure style/docs. Confirm every claim against the real code/files; never pass a hunk you did not actually read.

Output format

Terse findings only: SEVERITY · file:line · finding · one-line fix. No prose essays.

Strict enforcement (canonical — agent files point here, never restate)

The single source for every agent's "Strict enforcement" block: STRICT MODE + the rubric above + verify-don't-assume + round-UP tie-break + the terse format. Write-capable authors additionally follow author-contract; read-only critics follow critic-contract. Agent files add ONLY their domain-specific HIGH examples below a one-line pointer here.

Lessons

Propose durable lessons as LESSON · <category> · Context: … · Decision: … · Outcome: … (≤5 lines). Only project-steward persists them.

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File metadata

name: token-efficiency
description: Shared context-discipline contract every agent imports — context-source priority, read budget, confidence-stop, the severity rubric, and terse output. Load at the start of any review or implementation task.

View original text

---
name: token-efficiency
description: Shared context-discipline contract every agent imports — context-source priority, read budget, confidence-stop, the severity rubric, and terse output. Load at the start of any review or implementation task.
---

# Token-efficiency contract (all agents)

## Context-source priority (in order)

1. **codegraph (structural)** — symbols/calls/impact: MCP `codegraph_explore` when your allowlist has it, else CLI `codegraph callers/callees/impact/query`.
2. **graphify (semantic)** — meaning/rationale/cross-doc: MCP `query_graph`/`shortest_path`/`get_*` when connected, else CLI `graphify query|explain|path`.
3. **source** — authoritative for any region edited this turn.
4. **docs/knowledge/** — contracts, standards.
5. **lessons** — on-demand only, never bulk-loaded.

## Read discipline

- Minimum files; no repo-wide scans — codegraph for "where/what calls X", graphify for "what connects to X", `rg` only when neither answers.
- **Stop at ~90% confidence.** Read the relevant section, not the whole file.

## Severity rubric (anchors blocking — STRICT MODE, verify-don't-assume)

- **CRITICAL** — exploitable security on a secret/credential/IPC/updater/network-egress path; data loss/corruption; breaks a release or CI gate.
- **HIGH** — architecture-rule violation (`std::env::var` outside `platform/`, `reqwest::Client` outside `net/`, untyped `Result<_,String>` outside `error/`); changed non-trivial logic WITHOUT a test, or a weak/tautological/mock-asserting test; untested error/edge/security path on changed code; provider-specific coupling in business logic; PII/temp-file-cleanup/retention regression; user-facing text whose i18n key is missing from `en` or `de`.
- **MEDIUM** — unguarded hot-path perf regression, non-blocking correctness smell, missing non-critical edge test.
- **LOW** — style/naming/comments/formatting/docs.
- Only HIGH/CRITICAL block. **Tie-break: round UP** for test-coverage, error/edge-path, i18n, security, and data findings; round down only for pure style/docs. Confirm every claim against the real code/files; never pass a hunk you did not actually read.

## Output format

Terse findings only: `SEVERITY · file:line · finding · one-line fix`. No prose essays.

## Strict enforcement (canonical — agent files point here, never restate)

The single source for every agent's "Strict enforcement" block: STRICT MODE + the rubric above + verify-don't-assume + round-UP tie-break + the terse format. Write-capable **authors** additionally follow `author-contract`; read-only **critics** follow `critic-contract`. Agent files add ONLY their domain-specific HIGH examples below a one-line pointer here.

## Lessons

Propose durable lessons as `LESSON · <category> · Context: … · Decision: … · Outcome: …` (≤5 lines). Only `project-steward` persists them.

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: Apache-2.0

Dependency or permission surface needs review
Permission surface may require sandboxing
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 56 GitHub stars
Stars/forks activity: 56 stars, 5 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

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2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
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Source & usage notes

IndexedStatic Checked

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: saeedkolivand/ai-job-hunter-app
License: Apache-2.0
Version: Unknown
Last GitHub push: Sep 15, 2026
Registry updated: Sep 15, 2026
Instruction path: .claude/skills/token-efficiency/SKILL.md @ 2a73650eb78a

Version reported in registry metadata; check source releases before relying on it.

Quality

59/100

Promising

Trust

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This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

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Creator: saeedkolivand
Source: saeedkolivand/ai-job-hunter-app
Indexed by: OpenAgentSkill community index

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