agentleFS
bm629bm629/agent-skills/skills/github-cli-ops/SKILL.md

github-cli-ops

Skill2 starsChanged 3 months agoMITView on GitHub

Use when performing a GitHub operation programmatically — creating an issue or pull request, managing repos, releases, labels, Actions runs, Projects, secrets, or any github.com task — preferring the `gh` CLI and falling back to `gh api` (REST) or `gh api graphql` only where no command exists. Every call is authenticated per-invocation with `GH_TOKEN`; it never runs `gh auth switch` and never prints the token. Uses `gh`'s high-level commands (which also encrypt secrets client-side) for coverage and ergonomics; for the REST long tail it builds a `gh api` call from a bundled OpenAPI spec via an endpoint index + a `$ref`-resolver. github.com Cloud; consumes caller-injected credentials (host + a token resolved by variable name) — it does not provision or resolve them.

  • Reads credentials

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

10 rules. About 0 are common, 0 are distinctive, and 10 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 10

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Read the command's exact flags from live gh <cmd> --help (always current with the installed gh).

    line 75
  2. Very specific:

    Use --json <fields> [--jq <expr>] for machine-readable output.

    line 83
  3. Very specific:

    When no command exists: scan assets/endpoint-index.md for the operation, resolve its shape with python3 scripts/endpoint.py <operationId> …

    line 87
  4. Very specific:

    CLI-first: Prefer a gh command when one exists.

    line 109
  5. Very specific:

    Prefer a first-class command's structured output (--json) over scraping human text.

    line 117
  6. Very specific:

    gh auth switch to pick an account: Never — it mutates global state.

    line 131
  7. Very specific:

    Echoing the token: Never echo $TOKEN, never paste it into a printed command, never write its value into any file.

    line 132
  8. Very specific:

    gh api for what gh does natively: Don't hand-build gh api repos/{owner}/{repo}/issues -f title=… when gh issue create exists — you lose …

    line 133
  9. Very specific:

    Hand-rolling secret encryption: Don't fetch the public key and libsodium-encrypt yourself.

    line 134
  10. Very specific:

    Loading the whole spec: Don't cat the multi-MB OpenAPI JSON into context — scan the index, resolve one op.

    line 136

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

github-cli-ops

Overview

This skill lets an agent perform any GitHub operation, CLI-first: it uses the gh CLI for everything gh covers — the ergonomic path that also encrypts secrets and shapes output — and falls back to gh api (REST) only where no gh command exists, with gh api graphql for the GraphQL-only corners. Authentication is per-call: every invocation is prefixed with GH_TOKEN="$<token var>" from the caller-injected token, so nothing global is ever mutated. gh already manages base URL, pagination, and output, so the agent does not reimplement HTTP plumbing. For the REST long tail, the agent looks up an endpoint in a bundled OpenAPI spec via an endpoint index + a $ref-resolver, then constructs the gh api call.

When to activate

  • ✅ Performing a GitHub operation that has a first-class command — issues, pull requests, repos, releases, labels, gists, Actions runs/workflows, Projects, secrets, etc. (gh <command>).
  • ✅ A REST operation with no first-class command — construct it via gh api <endpoint>.
  • ✅ A GraphQL-only need (e.g. Discussions) — gh api graphql.
  • ✅ A write you need done programmatically against github.com.

Do NOT activate when:

  • The task is a local/interactive gh action — gh auth …, gh browse, gh repo clone, gh pr checkout, gh config, gh alias, gh extension, gh completion. Those are local conveniences, not API operations; use gh/git directly.
  • The target is GitHub Enterprise Server as a first-class need (this skill is github.com in v1; an Enterprise host routes via the injected host + GH_HOST/GH_ENTERPRISE_TOKEN but is untested here).
  • You only need credential setup — credentials are provided by the caller; this skill does not provision or resolve them (see references/auth.md for the contract it consumes).

Workflow

Step 1 — Receive the injected credentials

The caller has already resolved the account and injected what this operation needs — consume it; do not look for a record yourself. You receive from context:

  • host (and the capability the account acts under) — as context values, not read from a file.
  • The token, by an ordered load rule the context carries the variable NAME for. Resolve that name as: the project-level .env value if that file exists and defines the var, else the environment variable of that name — project .env is tried first (that is how a project .env overrides a global env var). The token value is never in the context prose — only its variable name ($<token_env> in the examples below); only the gh subprocess reads it. The project root is supplied by the context; perform no scope resolution or directory walk to find the .env, and it is project .env, not .envrc.

Confirm the token works before real operations: GH_TOKEN="$<token_env>" gh api user --jq .login. Never use gh auth switch/gh auth login to select the account — they mutate gh's global active account (shared across the user's shells); auth is per-call via GH_TOKEN. Full contract + the env bridge: references/auth.md.

Step 2 — Decide CLI vs API

Scan assets/cli-index.md (one line per command) for a gh command that matches the operation. Decision rule: prefer a gh command whenever one exists; use gh api only for the gap; gh api graphql for GraphQL-only needs. Note: whole areas have no command (teams, checks, packages, code-scanning/-security, dependabot, git data, reactions, apps, migrations, …) — for those, skip the scan and go straight to gh api (the list is in references/gh-api.md).

Step 3a — CLI path (preferred)

Read the command's exact flags from live gh <cmd> --help (always current with the installed gh). Run it with the per-call token:

GH_TOKEN="$<token_env>" gh issue create --repo OWNER/REPO --title "…" --body "…"
GH_TOKEN="$<token_env>" gh repo view OWNER/REPO --json name,visibility,defaultBranchRef --jq '.defaultBranchRef.name'
GH_TOKEN="$<token_env>" gh secret set MYSECRET --repo OWNER/REPO --body "$VALUE"   # gh encrypts client-side

Use --json <fields> [--jq <expr>] for machine-readable output. See references/cli-reference.md.

Step 3b — API fallback

When no command exists: scan assets/endpoint-index.md for the operation, resolve its shape with python3 scripts/endpoint.py <operationId> ($ref-resolved params / body / response + a skeleton), then construct:

GH_TOKEN="$<token_env>" gh api repos/{owner}/{repo}/traffic/views --jq '.count'
GH_TOKEN="$<token_env>" gh api -X PATCH repos/{owner}/{repo} -f description='…'
GH_TOKEN="$<token_env>" gh api graphql -f query='{ viewer { login } }'

{owner}/{repo}/{branch} placeholders fill from the current repo or GH_REPO. Flags + pagination + GraphQL detail: references/gh-api.md.

Step 4 — Handle the response

  • Output: --jq/--json (CLI) or --jq/--template (gh api).
  • Pagination (gh api): --paginate auto-follows Link headers; --slurp wraps all pages into one array. GraphQL paginate needs $endCursor + pageInfo{hasNextPage,endCursor} in the query.
  • Errors: a non-zero exit / HTTP 4xx is the API's answer — most often a token-scope issue. Mint a token with the needed scopes (see references/auth.md); it is not a skill bug.

Rules

Hard rules (never violate):

  • Per-call GH_TOKEN only. Authenticate every call with GH_TOKEN="$<token_env>" gh …. Never gh auth switch/gh auth login (they mutate global state). GH_HOST/GH_ENTERPRISE_TOKEN for non-default hosts.
  • Never read or print the token value. Reference it only as $<token_env>; the gh subprocess reads it from the environment. The token lives only in .env (gitignored).
  • CLI-first. Prefer a gh command when one exists; gh api is the gap-filler, gh api graphql for GraphQL-only. Do not hand-build a gh api call for something gh does natively.
  • Resolve before constructing a gh api call. Build params/body from the $ref-resolved schema (Step 3b), not from a guessed/remembered field set.
  • Secrets via gh secret set. It encrypts client-side; never hand-roll libsodium or PUT a raw secret value yourself.
  • This skill never writes credentials. Credentials are provided by the caller; this skill never provisions or resolves them.

Preferences (override-able):

  • Request only needed fields (--json <fields> on commands; --jq/-q to slice) to keep output small.
  • Prefer a first-class command's structured output (--json) over scraping human text.
  • For large gh api collections, use --paginate (and --slurp when you need a single combined array).

Gotchas

  • gh auth switch is global. It changes the active account for every shell, not just this call — the exact failure this skill avoids. Always pass GH_TOKEN per-invocation instead.
  • -f vs -F in gh api. -f/--raw-field sends a string; -F/--field does magic typing (true/false/null/ints become JSON types, @file reads a file, {owner} placeholders fill). Using -f for a boolean/int sends the literal string and the API rejects it.
  • Adding fields flips the method to POST. Any -f/-F switches gh api from GET to POST automatically; for a GET with query params use -X GET (or they go in the query string).
  • Token scope, not a bug. A 4xx on a valid call is usually a missing token scope (e.g. repo, delete_repo, read:org). Surface it and mint a properly-scoped token; don't retry blindly.
  • Placeholders need a repo context. {owner}/{repo} only fill from the current git repo or GH_REPO; outside a repo, pass the full path (repos/OWNER/REPO/…).
  • gh auth status with GH_TOKEN set reports the env token and disables login/switch — expected; it means per-call auth is in effect.

Anti-patterns

  • gh auth switch to pick an account. Never — it mutates global state. Per-call GH_TOKEN is the only account selector here.
  • Echoing the token. Never echo $TOKEN, never paste it into a printed command, never write its value into any file. Reference the env var only.
  • gh api for what gh does natively. Don't hand-build gh api repos/{owner}/{repo}/issues -f title=… when gh issue create exists — you lose ergonomics and validation.
  • Hand-rolling secret encryption. Don't fetch the public key and libsodium-encrypt yourself; gh secret set does it.
  • Guessing a gh api body. Resolve the schema (Step 3b); field requirements vary by endpoint.
  • Loading the whole spec. Don't cat the multi-MB OpenAPI JSON into context — scan the index, resolve one op.

Output

This skill produces GitHub side effects (the requested operation) and returns the parsed result to the calling agent. It writes no files of its own (it only consumes the caller-injected credentials). For writes it reports the created/updated resource (number, URL, id); for reads it returns the result set, paginating as needed. The abstract consumer is the calling agent (or sub-agent) that needs the operation performed; the token never enters that output.

Related

  • references/auth.md — the credential contract this skill consumes (caller-injected host + the ordered token-load rule), per-call GH_TOKEN, the verify probe, honest-secret handling.
  • The CLI-first + gh api-fallback pattern (with a bundled OpenAPI spec) generalizes to other providers that ship a first-class CLI.

Progressive disclosure

Heavy content lives in subfolders, loaded only on demand:

  • references/auth.md — the credential contract this skill consumes: caller-injected host, the ordered token-load rule, per-call GH_TOKEN, verify probe, the env bridge for example scripts. Load in Step 1.
  • references/cli-reference.md — CLI-first detail: the decision rule, --json/--jq output, gh secret set (client-side encryption), using cli-index.md + live gh --help. Load in Steps 2–3a.
  • references/gh-api.md — the fallback: gh api flags (-X, -f/-F, -H, --paginate, --slurp, --jq, --input, --hostname), the index+resolver workflow, GraphQL, errors/scopes. Load in Step 3b.
  • references/sources.md — provenance (the gh manual + the bundled spec version).

Added during augmentation (Phase 2.C), referenced above:

  • assets/cli-index.md — one line per gh command, for discovery (Step 2).
  • assets/github-openapi.json — the bundled GitHub REST OpenAPI spec (authoritative; queried, never loaded wholesale).
  • assets/endpoint-index.md — one line per REST operation, for discovery (Step 3b).
  • scripts/endpoint.py + scripts/endpoint.py.validation.md — the python3 $ref-resolver (Step 3b).
  • scripts/<example>.sh + .validation.md — validated example gh/gh api calls.

Standalone usage (optional, not required)

This is a convenience for a human running the skill by hand outside agent-flow — it is not a dependency of the skill. The skill's normative contract is caller-injection (Step 1); this appendix is only the manual-operator bridge.

To run by hand, populate GH_TOKEN (and optionally GH_HOST / GH_REPO) yourself from a .service-accounts.yaml record + its .env token, then run the scripts. An example record:

accounts:
  - name: github-personal
    provider: github
    host: github.com
    token_env: GH_PERSONAL_TOKEN     # the var holding the token value; value lives in .env (gitignored)
set -a; source .env; set +a                 # loads $GH_PERSONAL_TOKEN, never prints it
export GH_TOKEN="$GH_PERSONAL_TOKEN"
export GH_REPO="OWNER/REPO"                  # optional: fills {owner}/{repo}
bash scripts/create-issue.sh "My title" "My body"

The value is referenced by name only, never printed; per-call GH_TOKEN still applies (no gh auth switch).

Body budget

  • description ≤ 1,024 chars (agentskills.io cap).
  • Body ≤ ~500 lines / 5,000 tokens — kept in context every turn; detail lives in references/.
  • assets/github-openapi.json is large (queried on disk, never loaded into context).

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